Why was this cited? Explainable Machine Learning Applied to COVID-19 Research Articles

The notebook contains code for all models that were created for the purpose of getting results for the article: Why was this cited? Explainable Machine Learning Applied to COVID-19 Research Articles.

Expected directory structure

• cache/Entity_matrix <- cached entity extraction results, the folder must exist even if empty
• cache/FeatureImportance <- feature importance results used to prune rule learning matrices and for Shapley plots
• inputs/PUBMED <- article records
• inputs/metadata_with_opencitations.csv <- abstracts and article metadata for dataset version 1 with citations
• inputs/df_sw_tok_low_punc_lemm_v5.csv <- abstracts and article metadata for dataset version 2
• inputs/biblio.json <- journal information
• inputs/author_names_info.csv <- author names and their nationality (dataset version 1)
• inputs/citationcounts_oci_revised.csv <- citations for dataset version 2
• results/ <- results of processing
• Gollam/ <- several internally used code routines
• cordParam.R <- code for CBA models
• cordParamVisualization.R <- code for visualizing CBA models

Inputs of this notebook - description

DATASET VERSION 1

1) metadata_with_opencitations.csv

• This is the main input source of articles used in this analysis (CORD-19 corpus downloaded there:https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge) after reduction by PUBMED (downloaded https://github.com/fhircat/CORD-19-on-FHIR/tree/master/datasets/Pubtator_RDF/CORD-19-Abstracts) with added extracted Opencitations. The whole process how to receive this data from data sources and how it is cleaned is described in notebook preprocessing_dataset_v1.

2) biblio.json

• This is input source for bibliometric features, used only with dataset version 1.

3) author_names_info.csv

• There is a list of names used in author_names features matrix after reduction for dataset version 1 with added information about nationality of the name received from https://www.name-prism.com/.

DATASET VERSION 2

1) df_sw_tok_low_punc_lemm_v5.csv

• This is newer version of CORD-19 corpus after cleaning of abstract and reduction - described in notebook preprocessing_dataset_v2.ipynb.

2) citationcounts_oci_revised.csv

• Extracted citations for dataset version 2.

RESULTS FOR DATASET VERSION 1

• This notebook is used for running results of article for 2 versions of datasets
• Can be run for specific version of dataset by set the value of parameter DATASET_VERSION.

DATASET_VERSION = 1  # Other choise: 2

Libraries

import pandas as pd
import numpy as np
import os
import pickle
import json
import requests
import warnings
import matplotlib.pyplot as plt
import seaborn as sns
import re
import sys
import numpy
import hashlib
import itertools  
import ast

import sklearn.ensemble
from sklearn.utils import class_weight, shuffle
from sklearn.model_selection import KFold, cross_val_score, train_test_split
from sklearn.metrics import roc_auc_score, accuracy_score, roc_curve,classification_report,confusion_matrix,mean_absolute_error, mean_squared_error
from sklearn.feature_selection import SelectFromModel
from sklearn.feature_extraction.text import CountVectorizer,TfidfVectorizer
from sklearn.preprocessing import LabelEncoder
from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  
from sklearn.pipeline import make_pipeline


#BERT random forest
import sys, setuptools, tokenize
import torch
import tensorflow
from tensorflow import keras
import transformers as ppb
import warnings
warnings.filterwarnings('ignore')
from ipywidgets import IntProgress

# BERT neural network
# need to make sure that you are running TensorFlow 2.0. Google Colab, by default, doesn't run your script on TensorFlow 2.0. 
try:
    %tensorflow_version 2.x
except Exception:
    pass
import tensorflow as tf
import tensorflow_hub as hub
from tensorflow.keras import layers
import bert
import math
import random

from Gollam.Data_Clean.CheckLanguage import isEnglish
from Gollam.Ngrams.ExtractNgramsEntityList import extract_ngrams_entity_list
from Gollam.Data_Clean.IsNotAscii import is_not_ascii

import shap

from rdflib import Graph
import itertools
from corels import CorelsClassifier

## FOR CBA
import en_core_sci_lg
import en_ner_bionlp13cg_md
import en_ner_jnlpba_md
import en_ner_craft_md

[nltk_data] Downloading package punkt to
[nltk_data]     C:\Users\Lucinka\AppData\Roaming\nltk_data...
[nltk_data]   Package punkt is already up-to-date!

#os.environ["R_HOME"] = "/usr/lib/R" 
os.environ["R_HOME"] = r"C:\Program Files\R\R-4.1.2"
#os.environ["PATH"] = "/usr/lib/R"+  ";" + os.environ["PATH"] 
os.environ["PATH"] = r"C:\Program Files\R\R-4.1.2\bin\x64" + ";" + os.environ["PATH"]

import rpy2
from rpy2.robjects import pandas2ri, packages
pandas2ri.activate()
import rpy2.robjects as ro
from rpy2.robjects.packages import importr
from rpy2.robjects import pandas2ri
import rpy2.robjects as robjects
from rpy2.robjects.conversion import localconverter

from __future__ import print_function
from io import StringIO
from lime import lime_text
from lime.lime_text import LimeTextExplainer

import warnings
warnings.filterwarnings('ignore')

Parameters

#False - regenerate matrices, may be extremely slow
#True - used cached matrices
CSV_matrix_PubTator_conceptnet = True
CSV_matrix_PubTator = True
CSV_matrix_scispacy_conceptnet = True
CSV_matrix_scispacy = True

# Reduction of BOW and TF-IDF by parameter min_df
MIN_DF = 32

# Reduction of SCISPACY and PUBTATOR matrices by feature importance from random forest
MAX_NO_OF_FEATURES_SCISPACY_AND_PUBT = 1500

# if  we use parameters from grid for random forest or default version (setted parameters are faster and results are same)
USE_GRID = True

RUN_SEARCHING_OPTIMAL_MATRIX_SIZE = False
RUN_GRID_FOR_BERT = False
RUN_GRID_RANDOM_FOREST = False

Source data

documents from: https://allenai.org/data/cord-19

if DATASET_VERSION == 1:
    
    DATA_PATH = "./inputs/metadata_with_opencitation.csv"
    PubTator_DATA_PATH="./PUBMED/"
    documents = pd.read_csv(DATA_PATH, error_bad_lines=False,index_col="doi").reset_index()
    documents = documents.drop_duplicates(subset=['pubmed_id'], keep=False)
    documents = documents.drop_duplicates(subset=['doi','journal'], keep=False)
    documents = documents.set_index("doi")

    # impact factor features
    with open('inputs/biblio.json') as f:
         data = json.load(f)

    #drop documents with short abstract
    documents = documents.drop(documents[documents['abstract'].map(len) < 3].index)

    # remove word abstract from the abstracts
    documents["abstract"] = documents["abstract"].str.lower().replace('abstract','')
    documents["abstract"] = documents["abstract"].str.replace(r'abstract', '')
    documents['age']  = 2020- documents['year']
    documents["NormCitations"] = documents["OpenCitations"]/documents['age']

    DISCRETIZATION_NUMBER_OF_CATEGORIES=2
    DISCRETIZATION_PRECISION=0
    DISCRETIZATION_LABELS=["low","high"]
    documents["Target"]=pd.qcut(documents["NormCitations"], q=DISCRETIZATION_NUMBER_OF_CATEGORIES, precision=DISCRETIZATION_PRECISION, labels=DISCRETIZATION_LABELS)
    documents = documents.dropna()
    print(len(documents))
    
if DATASET_VERSION == 2:
    
    df_all = pd.read_csv("inputs/df_sw_tok_low_punc_lemm_v5.csv").rename(columns = {'doi_x':'doi'})
    df_cit = pd.read_csv("inputs/citationcounts_oci_revised.csv",error_bad_lines=False,encoding="utf-8")
    df_cit = df_cit.rename(columns={'count_opencitations;;;;;;': 'OpenCitations'})
    df_cit['OpenCitations'] =  df_cit['OpenCitations'].str.extract(r'(\d+)', expand=False)
    df_cit = df_cit[['doi','OpenCitations']].dropna()
    df_cit['OpenCitations'] = df_cit['OpenCitations'].astype(int)

    df_merged = df_cit.merge(df_all, on="doi",how="inner") # want to have articles from Kaggle with opencitations
    df_merged = df_merged[pd.notnull(df_merged['Year'])] # for target - needed to have not null year
    documents = df_merged
    documents['year']=documents['Year']

    #drop documents with short abstract
    documents = documents.drop(documents[documents['abstract'].map(len) < 3].index)
    
    # remove word abstract from the abstracts
    documents["abstract"] = documents["abstract"].str.lower().replace('abstract','')
    documents["abstract"] = documents["abstract"].str.replace(r'abstract', '')
    documents['age']  = 2021 - documents['year']
    documents["NormCitations"]= documents["OpenCitations"]/documents['age']
    DISCRETIZATION_NUMBER_OF_CATEGORIES=2
    DISCRETIZATION_PRECISION=0
    DISCRETIZATION_LABELS=["low","high"]
    documents["Target"]=pd.qcut(documents["NormCitations"], q=DISCRETIZATION_NUMBER_OF_CATEGORIES,  precision=DISCRETIZATION_PRECISION,  labels=DISCRETIZATION_LABELS)
    documents = documents.dropna()
    documents[documents["Target"]=="low"][["Target","OpenCitations"]].value_counts()
    print(len(documents))

2934

if DATASET_VERSION ==1:
    # impact factor features
    with open('inputs/biblio.json') as f:
         data = json.load(f)

if DATASET_VERSION ==1:
    if CSV_matrix_PubTator_conceptnet == True:
        matrix_PubTator_conceptnet_pd=pd.read_csv('cache/Entity_matrix/matrix_fhir_2940_conceptnet_new.csv',engine="python",index_col="doi", error_bad_lines=False)
        print(matrix_PubTator_conceptnet_pd.shape)
    
    if CSV_matrix_PubTator == True:    
        matrix_PubTator_pd=pd.read_csv('cache/Entity_matrix/matrix_fhir_2940.csv',engine="python",index_col="doi", error_bad_lines=False)
        print(matrix_PubTator_pd.shape)
    
    if CSV_matrix_scispacy == True:
        matrix_scispacy_pd=pd.read_csv('cache/Entity_matrix/matrix_scispacy_2940.csv',engine="python",index_col="doi", error_bad_lines=False)
        print(matrix_scispacy_pd.shape)
    
    if CSV_matrix_scispacy_conceptnet == True:  
        matrix_scispacy_conceptnet_pd=pd.read_csv('cache/Entity_matrix/matrix_scispacy_2940_conceptnet.csv',engine="python",index_col="doi", error_bad_lines=False)
        print(matrix_scispacy_conceptnet_pd.shape)

(2940, 2087)
(2940, 3322)
(2940, 23685)
(2940, 9483)

Plot citations

num_bins = len(documents['year'].unique())

fig, ax = plt.subplots()

# the histogram of the data
n, bins, patches = ax.hist(documents['year'], num_bins)

ax.set_xlabel('Year of publication')
ax.set_ylabel('Articles')

# Tweak spacing to prevent clipping of ylabel
fig.tight_layout()
plt.show()

# Warning this plot is done on data before documents for which we do not have biblio data have been removed
fig, ax = plt.subplots()

ax.hist(documents[documents.Target=="low"]["year"], num_bins, alpha=0.5)
ax.hist(documents[documents.Target=="high"]["year"], num_bins, alpha=0.5, color="red")

plt.legend(['Low citations', 'High citations']) 
ax.set_xlabel('Year of publication')
ax.set_ylabel('Number of articles')

# Tweak spacing to prevent clipping of ylabel
fig.tight_layout()
plt.show()

# Warning this plot is done on data before documents for which we do not have biblio data have been removed
documents["Target_OpenCitations"]=pd.qcut(documents["OpenCitations"],
                            q=DISCRETIZATION_NUMBER_OF_CATEGORIES, 
                            precision=DISCRETIZATION_PRECISION, 
                            labels=DISCRETIZATION_LABELS)
fig, ax = plt.subplots()
ax.hist(documents[documents.Target_OpenCitations=="low"]["year"], num_bins, alpha=0.5)
ax.hist(documents[documents.Target_OpenCitations=="high"]["year"], num_bins, alpha=0.5, color="red")
plt.legend(['Low citations', 'High citations']) 
ax.set_xlabel('Year of publication')
ax.set_ylabel('Citations - low')
# Tweak spacing to prevent clipping of ylabel
fig.tight_layout()
plt.show()
documents=documents.drop(columns=['Target_OpenCitations'])

Bibliometric features

if DATASET_VERSION == 1:
    
    def flatten_json(y):
        out = {}

        def flatten(x, name=''):
            if type(x) is dict:
                for a in x:
                    flatten(x[a], name + a + '_')
            elif type(x) is list:
                i = 0
                for a in x:
                    flatten(a, name + str(i) + '_')
                    i += 1
            else:
                out[name[:-1]] = x

        flatten(y)
        return out

    dic_flattened = (flatten_json(item[1]) for item in data.items())
    impacts_ais_jcats_df = pd.DataFrame(dic_flattened)
    # use pubmedids as index
    impacts_ais_jcats_df.index = list(data.keys())
    #use only first wos and ford category 
    impacts_ais_jcats_df=impacts_ais_jcats_df[[ 'impact_0_impact', 'impact_1_impact', 'ais_0_ais','ais_1_ais', 'WoSkategorie_0_obor', 
                                           'WoSkategorie_0_aisQ', 'WoSkategorie_0_impactQ', 'FORD_0_ford', 'FORD_0_aisQ', 'FORD_0_impactQ']]
    impacts_ais_jcats_df2=impacts_ais_jcats_df.reset_index().rename(columns={'index': 'pubmed_id'})

if DATASET_VERSION == 1:
    bibliometric_features=documents.reset_index()[["doi","Target","author_count","journal","pubmed_id","license"]]
    bibliometric_features['pubmed_id']=bibliometric_features['pubmed_id'].astype(int)
    bibliometric_features['pubmed_id']=bibliometric_features['pubmed_id'].astype(str)
    bibliometric_features=bibliometric_features.merge(impacts_ais_jcats_df2,on='pubmed_id', how='left').dropna().set_index("doi")
    del bibliometric_features['pubmed_id']
    
    #target
    target_bib_features = bibliometric_features.loc[:, bibliometric_features.columns == 'Target']
    bibliometric_features = bibliometric_features.loc[:, bibliometric_features.columns != 'Target']
    
    # Reduce documents
    new_ids =  bibliometric_features.reset_index()[["doi"]].set_index("doi")
    documents = new_ids.merge(documents, how='inner', left_index=True, right_index=True)

Create several versions of matrices

This operation can be performed on complete dataset without risk of leakage, because the vectorization performed is binary

TF-IDF for Random forest

vect_tfidf = TfidfVectorizer(analyzer = "word", 
                       tokenizer = None, 
                       ngram_range=(1,3), 
                       lowercase = True,
                       strip_accents = "ascii", 
                       binary= True,
                       stop_words='english',
                       min_df=MIN_DF) 

matrix_tfidf= vect_tfidf.fit_transform(documents['abstract'])
tokens_tfidf = vect_tfidf.get_feature_names()
matrix_tfidf_pd = pd.DataFrame.sparse.from_spmatrix(matrix_tfidf, columns = tokens_tfidf,index=documents.reset_index().doi)
matrix_tfidf_pd.shape

(2223, 1495)

BOW matrix

cvec = CountVectorizer(analyzer = "word", 
                       tokenizer = None, 
                       ngram_range=(1,3), 
                       lowercase = True,
                       strip_accents = "ascii", 
                       binary= True,
                       stop_words='english',
                       min_df=MIN_DF)    

matrix_bow = cvec.fit_transform(documents['abstract'])
tokens_bow = cvec.get_feature_names()
matrix_bow_pd = pd.DataFrame.sparse.from_spmatrix(matrix_bow, columns = tokens_bow,index=documents.reset_index().doi)
matrix_bow_pd.shape

(2223, 1495)

Binary document matrix with scispacy entities

This operation can be performed on complete dataset without risk of leakage

if CSV_matrix_scispacy == False:
 
    #Scispacy imports
    #pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.3.0/en_core_sci_lg-0.3.0.tar.gz
    #pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.3.0/en_ner_bionlp13cg_md-0.3.0.tar.gz
    #pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.3.0/en_ner_jnlpba_md-0.3.0.tar.gz
    #pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.3.0/en_ner_craft_md-0.3.0.tar.gz

    nlp = en_core_sci_lg.load()
    bionlp = en_ner_bionlp13cg_md.load()
    jnlpba = en_ner_jnlpba_md.load()
    craft = en_ner_craft_md.load()

    matrix_scispacy_pd = pd.DataFrame(index = documents.index, columns=[])
    for index, document in documents.iterrows():
        print("processing " + str(document.name))
        abstract_lower = document['abstract']
        ent_nlp = nlp(abstract_lower)
        ent_bionlp = bionlp(abstract_lower)
        ent_craft = craft(abstract_lower)
        ent_jnlpba = jnlpba(abstract_lower)
        all_ents=set(ent_nlp.ents + ent_bionlp.ents + ent_craft.ents + ent_jnlpba.ents)
        #new - lemmatization
        all_ents = map(lambda x: x.lemma_, all_ents)
    
        #TODO it would be better to sanitize entities with non-ascii char rather than completely remove them 
        all_ents = filter(lambda x: not(is_not_ascii(str(x))), all_ents)
        for ent in all_ents:
            matrix_scispacy_pd.at[document.name,str(ent)]=1

    matrix_scispacy_pd.shape  
    matrix_scispacy_pd.to_csv('cache/Entity_matrix/matrix_scispacy_2940_new.csv')

Add ConceptNet entities

if CSV_matrix_scispacy_conceptnet == False:  

    def conceptNetExpansion(entitiesToExpand, debug=False):
        entityDict = {}
        i=0
        for entity in entitiesToExpand:
            expandedEntities = set()
            if debug:
                print(str(i) + " processing " + entity)
            else:
                print("e" + filename, end='')
            i=i+1
            if i==5:
                print("Max processed entities for TEST run reached")
                break
            str_entity = entity.lower()
            if len(str_entity.split(" "))>1:
                entityList = extract_ngrams_entity_list(str_entity)  + [str_entity]
            else:
                entityList = [str_entity]    
                
            for internal_entity in entityList:
                print("i", end='')
                print(" processing internal entity: " + internal_entity)
                if type(internal_entity) == int:
                    continue
                hash_object = hashlib.md5(internal_entity.encode('utf-8'))
                filename = hash_object.hexdigest()
                try: 
                    with open('cache/ConceptNet/'+filename+".json", 'r') as cachefile:
                        obj = json.load(cachefile)
                        if debug:
                            print("Read from cache " + filename)
                        else:
                            print("c" + filename, end='')
                except IOError:
                    url = 'http://api.conceptnet.io/c/en/'+internal_entity
                    obj = requests.get(url).json()
                    with open('cache/ConceptNet/'+filename+".json", 'w') as outfile:
                        json.dump(obj, outfile)
                        if debug:
                            print("Saved to disk as " + filename )
                        else:
                            print("s" + filename, end='')
                

                for edge in obj['edges']:
                    entityLinkedAsStart = str(edge['start']['label']) 
                    entityLinkedAsEnd = str(edge['end']['label'])# str(obj['edges'][i]['end']['label'])
                    if isEnglish(entityLinkedAsStart):
                        expandedEntities.add(entityLinkedAsStart)
                    if isEnglish(entityLinkedAsEnd):
                        expandedEntities.add(entityLinkedAsEnd)

            entityDict[entity] = expandedEntities
        return entityDict

    #This no longer works reliably as conceptnet API takes too long to respond. Maybe download conceptnet and try locally, or let it run over night and cache the results? 
    def generateConceptNetExpansionMatrix(matrix, conceptNetExpansionDict):
        matrix_expanded = pd.DataFrame(index = matrix.index, columns=[])
        for inputEntity in conceptNetExpansionDict:
            for conceptNetEntity in conceptNetExpansionDict[inputEntity]:
                matrix_expanded.loc[matrix[inputEntity]==1,conceptNetEntity]=1
        return(matrix_expanded)

    scispacyToConceptNetExpansionDict=conceptNetExpansion(matrix_scispacy_pd.columns)
    matrix_scispacy_conceptnet = generateConceptNetExpansionMatrix(matrix_scispacy_pd,scispacyToConceptNetExpansionDict)
    matrix_scispacy_conceptnet.shape

    matrix_scispacy_conceptnet.to_csv('cache/Entity_matrix/matrix_scispacy_2940_conceptnet.csv')
    scispacyToConceptNetExpansionDict

PubTator

note that "full data" was renamed to "full_data" PubTator processing uses all text nodes shorter than 20 characters

if CSV_matrix_PubTator_conceptnet == False and CSV_matrix_PubTator == False:
     
    FHIR_DATA_PATH = 'inputs/PUBMED/'
        
    matrix_PubTator = pd.DataFrame(index = documents.index, columns=[])
    entities_doc=set()

    for index, document in documents.iterrows():
        
        path = FHIR_DATA_PATH+ str(int(document.pubmed_id)) + ".ttl"
        if os.path.isfile(path):
            print("processing " + path)
            pubmed_record = open(path, 'r',encoding="utf8") 
            g = Graph()
            g.parse(pubmed_record, format='turtle')
            qres = g.query(
        """SELECT DISTINCT ?text
           WHERE {
              ?a pm:text ?text .
           }""")
            for row in qres:
                extractedEntity = str(row.asdict()['text'].toPython())
                if len(extractedEntity) < 40 and not(is_not_ascii(str(extractedEntity))):                 
                    matrix_PubTator.at[document.name,extractedEntity]=1


    PubTatorToConceptNetExpansionDict=conceptNetExpansion(matrix_PubTator.columns)
    matrix_PubTator_conceptnet = generateConceptNetExpansionMatrix(matrix_PubTator,PubTatorToConceptNetExpansionDict)
    matrix_PubTator_conceptnet
    
    matrix_PubTator_conceptnet.to_csv('cache/Entity_matrix/matrix_fhir_2940_conceptnet_new_zkouska.csv') 
    matrix_PubTator.to_csv('cache/Entity_matrix/matrix_fhir_2940_zkouska.csv')

Plot citations

if DATASET_VERSION == 1:
    docSubsetWithMatchinbBiData = documents[documents.index.isin(target_bib_features.index)]
if DATASET_VERSION == 2:
    docSubsetWithMatchinbBiData = documents

fig, ax = plt.subplots()
ax.hist(docSubsetWithMatchinbBiData[docSubsetWithMatchinbBiData.Target=="low"]["year"], num_bins, alpha=0.5)
ax.hist(docSubsetWithMatchinbBiData[docSubsetWithMatchinbBiData.Target=="high"]["year"], num_bins, alpha=0.5, color="red")

plt.legend(['Low citations', 'High citations']) 
ax.set_xlabel('Year of publication')
ax.set_ylabel('Number of articles')
# Tweak spacing to prevent clipping of ylabel
fig.tight_layout()
plt.savefig("results/HistAfterAgeNorm.png", dpi=100)
plt.show()

# Warning this plot is done on data before documents for which we do not have biblio data have been removed
docSubsetWithMatchinbBiData["Target_OpenCitations"]=pd.qcut(docSubsetWithMatchinbBiData["OpenCitations"],
                            q=DISCRETIZATION_NUMBER_OF_CATEGORIES, 
                            precision=DISCRETIZATION_PRECISION, 
                            labels=DISCRETIZATION_LABELS)
fig, ax = plt.subplots()
ax.hist(docSubsetWithMatchinbBiData[docSubsetWithMatchinbBiData.Target_OpenCitations=="low"]["year"], num_bins, alpha=0.5)
ax.hist(docSubsetWithMatchinbBiData[docSubsetWithMatchinbBiData.Target_OpenCitations=="high"]["year"], num_bins, alpha=0.5, color="red")
plt.legend(['Low citations', 'High citations']) 
ax.set_xlabel('Year of publication')
ax.set_ylabel('Citations - low')
# Tweak spacing to prevent clipping of ylabel
fig.tight_layout()
plt.savefig("results/HistBeforeAgeNorm.png")
plt.show()
docSubsetWithMatchinbBiData=docSubsetWithMatchinbBiData.drop(columns=['Target_OpenCitations'])

Author names matrix

• About author names is better to think like about text - because we want to look for impact of individual authors and also combination of authors

if DATASET_VERSION == 1:
    cvec_authors = CountVectorizer(analyzer = "word", tokenizer = None, ngram_range=(1,50), min_df=MIN_DF, lowercase = True,strip_accents = "ascii", binary= True,stop_words='english')
    matrix_authors = cvec_authors.fit_transform(documents['authors'])
    tokens = cvec_authors.get_feature_names()
    matrix_authors_pd=pd.DataFrame(data=matrix_authors.toarray(), index=documents.index,columns=tokens)

    vect_authors_tfidf = TfidfVectorizer( tokenizer = None, ngram_range=(1,50), min_df=MIN_DF, lowercase = True,strip_accents = "ascii",stop_words='english')
    matrix_authors_tfidf= vect_authors_tfidf.fit_transform(documents['authors'])
    tokens_authors_tfidf = vect_authors_tfidf.get_feature_names()
    matrix_authors_tfidf_pd=pd.DataFrame(data=matrix_authors_tfidf.toarray(), index=documents.index,columns=tokens_authors_tfidf)

    matrix_authors_pd.shape,matrix_authors_tfidf_pd.shape

1) Bibliomatric features matrix for Random forest

if DATASET_VERSION == 1:
    bibliomet_matrix_randomforest = bibliometric_features.copy()
    cols = ["impact_0_impact","impact_1_impact","ais_0_ais","ais_1_ais","FORD_0_ford"] 
    for col in cols:
        bibliomet_matrix_randomforest[col] = bibliomet_matrix_randomforest[col].astype(float)
    
    lb_make = LabelEncoder()
    cols = ["journal","license","WoSkategorie_0_obor","WoSkategorie_0_aisQ","WoSkategorie_0_impactQ","FORD_0_ford","FORD_0_aisQ","FORD_0_impactQ"]
    for col in cols:
        bibliomet_matrix_randomforest[col] = lb_make.fit_transform(bibliomet_matrix_randomforest[col])

    bibliomet_matrix_randomforest =bibliomet_matrix_randomforest.merge(matrix_authors_pd, how='inner', left_index=True, right_index=True)
    bibliomet_matrix_tfidf =bibliomet_matrix_randomforest.merge(matrix_authors_tfidf_pd, how='inner', left_index=True, right_index=True)
    bibliomet_matrix_randomforest.shape, bibliomet_matrix_tfidf.shape, 

2) Bibliomatric features matrix for Rulemining

if DATASET_VERSION == 1:
    bibliomet_matrix_rulemining = bibliometric_features.copy()

    del bibliomet_matrix_rulemining["impact_1_impact"]
    del bibliomet_matrix_rulemining["impact_0_impact"]
    del bibliomet_matrix_rulemining["ais_0_ais"]
    del bibliomet_matrix_rulemining["ais_1_ais"]
    del bibliomet_matrix_rulemining["author_count"]

    bibliomet_matrix_rulemining = bibliomet_matrix_rulemining.replace("\xe9", "_") 
    bibliomet_matrix_rulemining["journal"] = bibliomet_matrix_rulemining["journal"].replace(" ", "_") 
    bibliomet_matrix_rulemining = pd.get_dummies(bibliomet_matrix_rulemining.astype(str))
    bibliomet_matrix_rulemining =bibliomet_matrix_rulemining.merge(matrix_authors_pd, how='inner', left_index=True, right_index=True)
    bibliomet_matrix_rulemining = bibliomet_matrix_rulemining.astype(np.int64)

    u = bibliomet_matrix_rulemining.select_dtypes(object)
    bibliomet_matrix_rulemining[u.columns] = u.apply(lambda x: x.str.encode('ascii', 'ignore').str.decode('ascii'))
    bibliomet_matrix_rulemining.columns = ["".join(l) for l in bibliomet_matrix_rulemining.columns.str.replace("\s", "_").str.findall("[\w\d]+")]
    bibliomet_matrix_rulemining.columns = bibliomet_matrix_rulemining.columns.str.replace('\s+', '_').str.replace('\W+', '').str.replace('\xed', '_').str.replace('\xf1', '').str.replace('\xfc', '_').str.replace('\xe9', '_').str.replace( '\xe7', '')

    bibliomet_matrix_rulemining.shape

Connected matrices

Reduce number of rows (to have same number of documents everywhere - like in bibliometric features)

if DATASET_VERSION == 1:
    matrix_scispacy_pd = matrix_scispacy_pd.merge(new_ids, how="inner",left_index=True, right_index=True)
    matrix_PubTator_conceptnet_pd = matrix_PubTator_conceptnet_pd.merge(new_ids, how="inner",left_index=True, right_index=True)
    matrix_scispacy_conceptnet_pd= matrix_scispacy_conceptnet_pd.merge(new_ids, how="inner",left_index=True, right_index=True)
    matrix_PubTator_pd=matrix_PubTator_pd.merge(new_ids, how="inner",left_index=True, right_index=True)
    matrix_authors_pd=matrix_authors_pd.merge(new_ids, how="inner",left_index=True, right_index=True)
    matrix_bow_pd=matrix_bow_pd.merge(new_ids, how="inner",left_index=True, right_index=True)
    matrix_tfidf_pd=matrix_tfidf_pd.merge(new_ids, how="inner",left_index=True, right_index=True)

if DATASET_VERSION == 1:
    bow_plus_bibliometric_features = bibliomet_matrix_randomforest.merge(matrix_bow_pd, how='inner', left_index=True, right_index=True)
    tfidf_plus_bibliometric_features = bibliomet_matrix_tfidf.merge(matrix_tfidf_pd, how='inner', left_index=True, right_index=True)
    bow_plus_scispacy_pd = matrix_scispacy_pd.merge(matrix_bow_pd, how='inner', left_index=True, right_index=True)
    bow_plus_PubTator_conceptnet_pd = matrix_PubTator_conceptnet_pd.merge(matrix_bow_pd, how='inner', left_index=True, right_index=True)
    bow_plus_PubTator_pd = matrix_PubTator_pd.merge(matrix_bow_pd, how='inner', left_index=True, right_index=True)
    bow_plus_scispacy_conceptnet_pd = matrix_scispacy_conceptnet_pd.merge(matrix_bow_pd, how='inner', left_index=True, right_index=True)
    bow_plus_PubtConc_plus_BibFeat_pd = bow_plus_PubTator_conceptnet_pd.merge(bibliomet_matrix_randomforest, how='inner', left_index=True, right_index=True)
    bow_plus_bibliometric_features_rule = bibliomet_matrix_rulemining.merge(matrix_bow_pd, how='inner', left_index=True, right_index=True)
    bow_plus_bibliometric_features_rule = bow_plus_bibliometric_features_rule.loc[:, bow_plus_bibliometric_features_rule.columns != 'Target']
    bow_plus_PubtConc_plus_BibFeat_pd_rule = bibliomet_matrix_rulemining.merge(bow_plus_PubTator_conceptnet_pd , how='inner', left_index=True, right_index=True)

Optimal SIZE of matrices

if RUN_SEARCHING_OPTIMAL_MATRIX_SIZE:
    dfs = []
    names = []
    results = []

    min_df_matrix = [ 
             ('min_df_1', 1),('min_df_4', 4),('min_df_8',8),('min_df_12',12),('min_df_16',16),('min_df_20',20),('min_df_24',24), ('min_df_28',28),('min_df_32',32),('min_df_36',36),     ('min_df_40',40),
        ('min_df_44',44),('min_df_48',48), ('min_df_52',52),('min_df_90',90),('min_df_120',120),('min_df_150',150),('min_df_200',200),('min_df_250',250) ]
      
    for name, min_df_value in min_df_matrix:    
        cvec = CountVectorizer(analyzer = "word", tokenizer = None, ngram_range=(1,3), lowercase = True,strip_accents = "ascii", binary= True,stop_words='english',min_df=min_value)    

        matrix_bow = cvec.fit_transform(documents['abstract'])
        tokens = cvec.get_feature_names()
        matrix_bow_pd=pd.DataFrame(data=matrix_bow.toarray(), index=documents.index,columns=tokens)
        rf = RandomForestClassifier()
        X_train, X_test, y_train, y_test = train_test_split(matrix_bow_pd, documents.Target, test_size=0.3, random_state=1)
        kfold = model_selection.KFold(n_splits=3, shuffle=True, random_state=90210)
        cv_results = model_selection.cross_validate(rf, X_train, y_train, cv=kfold, scoring="accuracy")
        rf.fit(X_train, y_train)        
        results.append(cv_results)
        names.append(name)
        this_df = pd.DataFrame(cv_results)
        this_df['model'] = name
        this_df['number_of_col_in_mtrx'] = matrix_bow_pd.shape[1]
        dfs.append(this_df)

    final = pd.concat(dfs, ignore_index=True)
    final.to_csv("results/TUNING_MIN_DF_new.csv") 

BERT

BERT TOKENIZATION - FOR RANDOM FOREST

if DATASET_VERSION == 1:
    model_class, tokenizer_class, pretrained_weights = (ppb.BertModel, ppb.BertTokenizer, 'bert-base-uncased')
    tokenizer = tokenizer_class.from_pretrained(pretrained_weights)
    model = model_class.from_pretrained(pretrained_weights)

Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertModel: ['cls.predictions.transform.dense.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.bias', 'cls.predictions.decoder.weight', 'cls.seq_relationship.bias', 'cls.seq_relationship.weight']
- This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).

BERT tokenizer

if DATASET_VERSION == 1:
    documents_bert_1  = documents
    documents_bert_1['abstract'] = documents_bert_1['abstract'].str[:512]
    tokenized = documents_bert_1['abstract'].apply((lambda x: tokenizer.encode(x, add_special_tokens=True)))

    max_len = 0
    for i in tokenized.values:
        if len(i) > max_len:
            max_len = len(i)

    padded = np.array([i + [0]*(max_len-len(i)) for i in tokenized.values])
    attention_mask = np.where(padded != 0, 1, 0)
    padded = torch.tensor(padded).to(torch.int64)

BERT model (BERT embeddings)

if DATASET_VERSION == 1:
    input_ids = torch.tensor(padded)  
    attention_mask = torch.tensor(attention_mask)

    with torch.no_grad():
        last_hidden_states = model(input_ids, attention_mask=attention_mask)
    
    features = last_hidden_states[0][:,0,:].numpy()
    labels = documents['Target']

if DATASET_VERSION == 1:
    X_train, X_test, y_train, y_test = train_test_split(features, labels, test_size = 0.3,random_state=1)

Random forest with BERT - classifier

if RUN_GRID_FOR_BERT:
    from sklearn.model_selection import GridSearchCV
    param_grid = { 'bootstrap': [True],'max_depth': [10,150, 500,1000],'max_features': [30,500,3000], 'min_samples_leaf': [1,10,100], 'min_samples_split': [2,10,100],  'n_estimators': [10, 100]} 
    rf = RandomForestClassifier()  
    grid_search = GridSearchCV(estimator = rf, param_grid = param_grid,  cv = 3, n_jobs = -1, verbose = 2)
    grid_search.fit(X_train, y_train)
    print(grid_search.best_params_)

if DATASET_VERSION == 1:
    rf = RandomForestClassifier(bootstrap= True, max_depth= 500, max_features= 30, min_samples_leaf= 10, min_samples_split= 2, n_estimators= 100)
    rf.fit(X_train,y_train)

RandomForestClassifier(max_depth=500, max_features=30, min_samples_leaf=10)

if DATASET_VERSION == 1:
    y_pred = rf.predict(X_test)

if DATASET_VERSION == 1:
    clsf_report = pd.DataFrame(classification_report(y_true = y_test, y_pred = y_pred, output_dict=True)).transpose()
    if DATASET_VERSION ==1: 
        clsf_report.to_csv('results/randomforest/results_bert_randomforest_datasetv1.csv', index= True)
    if DATASET_VERSION ==2: 
        clsf_report.to_csv('results/randomforest/results_bert_randomforest_datasetv2.csv', index= True)
    clsf_report

	precision	recall	f1-score	support
high	0.629310	0.675926	0.651786	324.000000
low	0.670846	0.623907	0.646526	343.000000
accuracy	0.649175	0.649175	0.649175	0.649175
macro avg	0.650078	0.649916	0.649156	667.000000
weighted avg	0.650670	0.649175	0.649081	667.000000

Random forest with BERT - regression

if DATASET_VERSION == 1:
    labels = documents['NormCitations']
    X_train, X_test, y_train, y_test = train_test_split(features, labels, test_size = 0.3,random_state=1)

if DATASET_VERSION == 1:
    rf = RandomForestRegressor() 
    rf.fit(X_train, y_train)  

RandomForestRegressor()

if DATASET_VERSION == 1:
    y_pred = rf.predict(X_test)
    MAE = mean_absolute_error(y_test, y_pred)
    MSE = mean_squared_error(y_test, y_pred)
    y_test_bin = [0 if i <=2.0 else 1 for i in y_test]
    y_pred_bin = [0 if i <=2.0 else 1 for i in y_pred]
    clsf_report = pd.DataFrame(classification_report(y_true = y_test_bin, y_pred = y_pred_bin, output_dict=True)).transpose()
    clsf_report['MAE'] = MAE
    clsf_report['MSE'] = MSE
    print(clsf_report)
    if DATASET_VERSION ==1: 
        clsf_report.to_csv('results/randomforest/results_bert_randomforest_datasetv1_regression.csv', index= True)
    if DATASET_VERSION ==2: 
        clsf_report.to_csv('results/randomforest/results_bert_randomforest_datasetv2_regression.csv', index= True)
    clsf_report

              precision    recall  f1-score     support       MAE        MSE
0              0.867925  0.134111  0.232323  343.000000  3.496548  33.218833
1              0.516287  0.978395  0.675906  324.000000  3.496548  33.218833
accuracy       0.544228  0.544228  0.544228    0.544228  3.496548  33.218833
macro avg      0.692106  0.556253  0.454115  667.000000  3.496548  33.218833
weighted avg   0.697114  0.544228  0.447797  667.000000  3.496548  33.218833

	precision	recall	f1-score	support	MAE	MSE
0	0.867925	0.134111	0.232323	343.000000	3.496548	33.218833
1	0.516287	0.978395	0.675906	324.000000	3.496548	33.218833
accuracy	0.544228	0.544228	0.544228	0.544228	3.496548	33.218833
macro avg	0.692106	0.556253	0.454115	667.000000	3.496548	33.218833
weighted avg	0.697114	0.544228	0.447797	667.000000	3.496548	33.218833

BERT tokenizer for neural network

• previous version of model: https://tfhub.dev/tensorflow/bert_en_uncased_L-12_H-768_A-12/1 (now is available https://tfhub.dev/tensorflow/bert_en_uncased_L-12_H-768_A-12/2)

# if you get module 'bert' has no attribute 'bert_tokenization
# pip install bert-tensorflow 
# pip install bert-for-tf2
BertTokenizer = bert.bert_tokenization.FullTokenizer
bert_layer = hub.KerasLayer("https://tfhub.dev/tensorflow/bert_en_uncased_L-12_H-768_A-12/2",trainable=False)
vocabulary_file = bert_layer.resolved_object.vocab_file.asset_path.numpy()
to_lower_case = bert_layer.resolved_object.do_lower_case.numpy()
#watch out we override tokenizer that has been created before with a BERT tokenizer
tokenizer = BertTokenizer(vocabulary_file, to_lower_case)

INFO:absl:Using C:\Users\Lucinka\AppData\Local\Temp\tfhub_modules to cache modules.

def preprocess_text(sen):
    # Removing html tags
    sentence = remove_tags(sen)

    # Remove punctuations and numbers
    sentence = re.sub('[^a-zA-Z]', ' ', sentence)

    # Single character removal
    sentence = re.sub(r"\s+[a-zA-Z]\s+", ' ', sentence)

    # Removing multiple spaces
    sentence = re.sub(r'\s+', ' ', sentence)

    return sentence
TAG_RE = re.compile(r'<[^>]+>')

def remove_tags(text):
    return TAG_RE.sub('', text)

documents_bert_1  = documents
documents_bert_1['abstract'] = documents_bert_1['abstract'].str[:512]

bert_texts = []
sentences = list(documents_bert_1['abstract'])
for sen in sentences:
    bert_texts.append(preprocess_text(sen))

def tokenize_texts(text_reviews):
    return tokenizer.convert_tokens_to_ids(tokenizer.tokenize(text_reviews))
tokenized_texts = [tokenize_texts(text) for text in bert_texts]

Neural Network modelling

Preprocess data:

def run_preprocessing(classification = True):
    
    if classification == True:
        y = documents_bert_1['Target']
        y = np.array(list(map(lambda x: 1 if x=="high" else 0, y)))

    if classification ==False:
        y = documents_bert_1['NormCitations']
        y = np.array(list(y))
        
    add_id=documents_bert_1.reset_index()['doi']
    add_id = np.array(list(add_id))

    reviews_with_len = [[review, y[i], len(review),  add_id[i]]
                     for i, review in enumerate(tokenized_texts)]
    for_max_size = [len(review)
                     for i, review in enumerate(tokenized_texts)]

    max_size=max(for_max_size)

    reviews_with_len = [[[review[cnt] if cnt < len(review) else 0 for cnt in range(max_size)], y[i], len(review), add_id[i]]
    for i, review in enumerate(tokenized_texts)]

    random.shuffle(reviews_with_len)

    sorted_reviews_labels = [(review_lab[0], review_lab[1]) for review_lab in reviews_with_len]
    processed_dataset = tf.data.Dataset.from_generator(lambda: sorted_reviews_labels, output_types=(tf.int32, tf.int32))

    BATCH_SIZE = 32
    batched_dataset = processed_dataset.padded_batch(BATCH_SIZE, padded_shapes=((None, ), ()))

    next(iter(batched_dataset))
    
    TOTAL_BATCHES = math.ceil(len(sorted_reviews_labels) / BATCH_SIZE)
    TEST_BATCHES = TOTAL_BATCHES // 30
    test_data = batched_dataset.take(TEST_BATCHES)
    train_data = batched_dataset.skip(TEST_BATCHES)

    return test_data, train_data

class TEXT_MODEL(tf.keras.Model):
    
    def __init__(self,
                 regression,
                 vocabulary_size,
                 embedding_dimensions=128,
                 cnn_filters=50,
                 dnn_units=512,
                 model_output_classes=2,
                 dropout_rate=0.1,
                 training=False,
                 name="text_model"):
        super(TEXT_MODEL, self).__init__(name=name)
        
        self.embedding = layers.Embedding(vocabulary_size,
                                          embedding_dimensions)
        self.cnn_layer1 = layers.Conv1D(filters=cnn_filters, kernel_size=2,padding="valid", activation="relu")
        self.cnn_layer2 = layers.Conv1D(filters=cnn_filters, kernel_size=3, padding="valid",activation="relu")
        self.cnn_layer3 = layers.Conv1D(filters=cnn_filters,kernel_size=4,padding="valid",activation="relu")
        self.pool = layers.GlobalMaxPool1D()
        self.dense_1 = layers.Dense(units=dnn_units, activation="relu")
        self.dropout = layers.Dropout(rate=dropout_rate)
        
        if not regression:
            self.last_dense = layers.Dense(units=model_output_classes,activation="softmax")
        if regression:
            self.last_dense = layers.Dense(units=model_output_classes,activation="relu") 
    
    def call(self, inputs, training):
        l = self.embedding(inputs)
        l_1 = self.cnn_layer1(l) 
        l_1 = self.pool(l_1) 
        l_2 = self.cnn_layer2(l) 
        l_2 = self.pool(l_2)
        l_3 = self.cnn_layer3(l)
        l_3 = self.pool(l_3) 
        
        concatenated = tf.concat([l_1, l_2, l_3], axis=-1) # (batch_size, 3 * cnn_filters)
        concatenated = self.dense_1(concatenated)
        concatenated = self.dropout(concatenated, training)
        model_output = self.last_dense(concatenated)
        
        return model_output

def run_nn(regression = True):
    param1 = {'EMB_DIM' : 200, 
          'CNN_FILTERS' : 100}
    param2 = {'EMB_DIM' : 1400, 
          'CNN_FILTERS' : 130}
    param3 = {'EMB_DIM' : 500, 
          'CNN_FILTERS' : 200}
    param4 = {'EMB_DIM' : 1300, 
          'CNN_FILTERS' : 50}

    if regression:
        OUTPUT_CLASSES = 1
    if not regression:
        OUTPUT_CLASSES = 2

    params_mat = [  
              ('param1', param1),
              ('param2',param2),
              ('param3',param3),
              ('param4',param4)
             ]    

    for names,params in params_mat:
        text_model = TEXT_MODEL(regression,vocabulary_size=len(tokenizer.vocab),
                        embedding_dimensions=params.get('EMB_DIM'),
                        cnn_filters=params.get('CNN_FILTERS'),
                        dnn_units=256,
                        model_output_classes=OUTPUT_CLASSES,
                        dropout_rate=0.2)

        if not regression:
            text_model.compile(loss="sparse_categorical_crossentropy",optimizer="adam",metrics=["sparse_categorical_accuracy"])
            test_data, train_data = run_preprocessing(classification = True)
        if regression:
            text_model.compile(loss="mean_squared_error",optimizer="adam",metrics=["mean_squared_error"])
            test_data, train_data = run_preprocessing(classification = False)
            
        traning = text_model.fit(train_data, epochs=5)
        results = text_model.evaluate(test_data)
        print("results_test_data")
        print(results)
    
        y_test_bert = np.concatenate([y for x, y in test_data], axis=0)
        y_prob = text_model.predict(test_data) 
        predicted = np.argmax(y_prob, axis=1)

        if not regression:
            results_pd = pd.DataFrame(classification_report(y_test_bert, predicted, output_dict=True)).transpose()
            print(results_pd)
            if DATASET_VERSION ==1:
                results_pd.to_csv('results/neural_network/results_bow_bert_neural_network_classification_datasetv1_'+str(names)+'.csv', index= True)
            if DATASET_VERSION ==2:
                results_pd.to_csv('results/neural_network/results_bow_bert_neural_network_classification_datasetv2_'+str(names)+'.csv', index= True)
        
        if regression: 
            MAE = mean_absolute_error(y_test_bert, y_prob)
            MSE = mean_squared_error(y_test_bert, y_prob)
            list_metrics = [MAE, MSE]
            keys =["MAE", "MSE"]
            dictionary = dict(zip(keys, list_metrics))
            results_pd = pd.DataFrame.from_dict(dictionary,orient ='index').T 
            results_pd['model'] = "BERT"
            results_pd['number_of_col_in_mtrx'] = X_train.shape[1]
            if DATASET_VERSION ==2:
                y_test_bin = [0 if i <=2.0 else 1 for i in y_test_bert]
                y_pred_bin = [0 if i <=2.0 else 1 for i in y_prob] 
            if DATASET_VERSION ==1:
                y_test_bin = [0 if i <=2.0 else 1 for i in y_test_bert]
                y_pred_bin = [0 if i <=2.0 else 1 for i in y_prob] 
            clsf_report = pd.DataFrame(classification_report(y_true = y_test_bin, y_pred = y_pred_bin, output_dict=True)).transpose()
            accuracy = clsf_report.iat[2,0]
            results_pd['accuracy'] = accuracy
            print(results_pd)
            if DATASET_VERSION ==1:
                results_pd.to_csv('results/neural_network/results_bow_bert_neural_network_regresion_datasetv1'+str(names)+'.csv', index= True)
            if DATASET_VERSION ==2:
                results_pd.to_csv('results/neural_network/results_bow_bert_neural_network_regresion_datasetv2'+str(names)+'.csv', index= True)
          
    return print("done")

run_nn(regression=True)

Epoch 1/5
68/68 [==============================] - 12s 142ms/step - loss: 52.9149 - mean_squared_error: 52.9149
Epoch 2/5
68/68 [==============================] - 31s 443ms/step - loss: 45.8722 - mean_squared_error: 45.8722
Epoch 3/5
68/68 [==============================] - 14s 195ms/step - loss: 38.5357 - mean_squared_error: 38.5357
Epoch 4/5
68/68 [==============================] - 13s 171ms/step - loss: 26.8187 - mean_squared_error: 26.8187
Epoch 5/5
68/68 [==============================] - 11s 149ms/step - loss: 15.0532 - mean_squared_error: 15.0532
2/2 [==============================] - 2s 33ms/step - loss: 13.1342 - mean_squared_error: 13.1342
results_test_data
[13.134244918823242, 13.134244918823242]
        MAE        MSE model  number_of_col_in_mtrx  accuracy
0  2.487028  13.134246  BERT                    768    0.6875
Epoch 1/5
68/68 [==============================] - 103s 1s/step - loss: 50.3156 - mean_squared_error: 50.3156
Epoch 2/5
68/68 [==============================] - 69s 1s/step - loss: 39.0059 - mean_squared_error: 39.0059
Epoch 3/5
68/68 [==============================] - 68s 993ms/step - loss: 21.8498 - mean_squared_error: 21.8498
Epoch 4/5
68/68 [==============================] - 69s 1s/step - loss: 10.4972 - mean_squared_error: 10.4972
Epoch 5/5
68/68 [==============================] - 68s 996ms/step - loss: 13.9544 - mean_squared_error: 13.9544
2/2 [==============================] - 2s 183ms/step - loss: 22.0436 - mean_squared_error: 22.0436
results_test_data
[22.043611526489258, 22.043611526489258]
       MAE        MSE model  number_of_col_in_mtrx  accuracy
0  2.36095  22.043611  BERT                    768  0.796875
Epoch 1/5
68/68 [==============================] - 34s 462ms/step - loss: 35.0358 - mean_squared_error: 35.0358
Epoch 2/5
68/68 [==============================] - 32s 464ms/step - loss: 27.4225 - mean_squared_error: 27.4225
Epoch 3/5
68/68 [==============================] - 33s 474ms/step - loss: 17.6470 - mean_squared_error: 17.6470
Epoch 4/5
68/68 [==============================] - 32s 458ms/step - loss: 7.4077 - mean_squared_error: 7.4077
Epoch 5/5
68/68 [==============================] - 33s 470ms/step - loss: 11.7566 - mean_squared_error: 11.7566
2/2 [==============================] - 2s 93ms/step - loss: 511.1086 - mean_squared_error: 511.1086
results_test_data
[511.1086120605469, 511.1086120605469]
        MAE         MSE model  number_of_col_in_mtrx  accuracy
0  6.029615  511.108643  BERT                    768  0.640625
Epoch 1/5
68/68 [==============================] - 49s 687ms/step - loss: 35.6439 - mean_squared_error: 35.6439
Epoch 2/5
68/68 [==============================] - 48s 692ms/step - loss: 26.5464 - mean_squared_error: 26.5464
Epoch 3/5
68/68 [==============================] - 47s 686ms/step - loss: 14.6276 - mean_squared_error: 14.6276
Epoch 4/5
68/68 [==============================] - 47s 687ms/step - loss: 7.4018 - mean_squared_error: 7.4018
Epoch 5/5
68/68 [==============================] - 47s 685ms/step - loss: 8.9175 - mean_squared_error: 8.9175
2/2 [==============================] - 2s 97ms/step - loss: 508.2774 - mean_squared_error: 508.2774
results_test_data
[508.27740478515625, 508.27740478515625]
        MAE         MSE model  number_of_col_in_mtrx  accuracy
0  5.215781  508.277419  BERT                    768     0.625
done

run_nn(regression=False)

Epoch 1/5
68/68 [==============================] - 13s 139ms/step - loss: 0.6449 - sparse_categorical_accuracy: 0.6281
Epoch 2/5
68/68 [==============================] - 11s 143ms/step - loss: 0.4544 - sparse_categorical_accuracy: 0.8022
Epoch 3/5
68/68 [==============================] - 11s 154ms/step - loss: 0.1506 - sparse_categorical_accuracy: 0.9676
Epoch 4/5
68/68 [==============================] - 11s 151ms/step - loss: 0.0170 - sparse_categorical_accuracy: 0.9991
Epoch 5/5
68/68 [==============================] - 11s 145ms/step - loss: 0.0035 - sparse_categorical_accuracy: 1.0000
WARNING:tensorflow:5 out of the last 9 calls to <function Model.make_test_function.<locals>.test_function at 0x0000018DA6777AF0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.

WARNING:tensorflow:5 out of the last 9 calls to <function Model.make_test_function.<locals>.test_function at 0x0000018DA6777AF0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.

2/2 [==============================] - 2s 35ms/step - loss: 0.4668 - sparse_categorical_accuracy: 0.8281
results_test_data
[0.46675825119018555, 0.828125]
WARNING:tensorflow:5 out of the last 9 calls to <function Model.make_predict_function.<locals>.predict_function at 0x0000018DA1B421F0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.

WARNING:tensorflow:5 out of the last 9 calls to <function Model.make_predict_function.<locals>.predict_function at 0x0000018DA1B421F0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.

              precision    recall  f1-score    support
0              0.846154  0.758621  0.800000  29.000000
1              0.815789  0.885714  0.849315  35.000000
accuracy       0.828125  0.828125  0.828125   0.828125
macro avg      0.830972  0.822167  0.824658  64.000000
weighted avg   0.829548  0.828125  0.826969  64.000000
Epoch 1/5
68/68 [==============================] - 72s 1s/step - loss: 0.6345 - sparse_categorical_accuracy: 0.6443
Epoch 2/5
68/68 [==============================] - 71s 1s/step - loss: 0.4312 - sparse_categorical_accuracy: 0.8096
Epoch 3/5
68/68 [==============================] - 70s 1s/step - loss: 0.1610 - sparse_categorical_accuracy: 0.9541
Epoch 4/5
68/68 [==============================] - 69s 1s/step - loss: 0.1680 - sparse_categorical_accuracy: 0.9338
Epoch 5/5
68/68 [==============================] - 70s 1s/step - loss: 0.1946 - sparse_categorical_accuracy: 0.9129
WARNING:tensorflow:6 out of the last 11 calls to <function Model.make_test_function.<locals>.test_function at 0x0000018DB64E2D30> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.

WARNING:tensorflow:6 out of the last 11 calls to <function Model.make_test_function.<locals>.test_function at 0x0000018DB64E2D30> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.

2/2 [==============================] - 2s 176ms/step - loss: 1.0455 - sparse_categorical_accuracy: 0.6406
results_test_data
[1.0454902648925781, 0.640625]
WARNING:tensorflow:6 out of the last 11 calls to <function Model.make_predict_function.<locals>.predict_function at 0x0000018DB5BA4B80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.

WARNING:tensorflow:6 out of the last 11 calls to <function Model.make_predict_function.<locals>.predict_function at 0x0000018DB5BA4B80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.

              precision    recall  f1-score    support
0              0.656250  0.636364  0.646154  33.000000
1              0.625000  0.645161  0.634921  31.000000
accuracy       0.640625  0.640625  0.640625   0.640625
macro avg      0.640625  0.640762  0.640537  64.000000
weighted avg   0.641113  0.640625  0.640713  64.000000
Epoch 1/5
68/68 [==============================] - 34s 462ms/step - loss: 0.6284 - sparse_categorical_accuracy: 0.6401
Epoch 2/5
68/68 [==============================] - 33s 476ms/step - loss: 0.4174 - sparse_categorical_accuracy: 0.8231
Epoch 3/5
68/68 [==============================] - 33s 472ms/step - loss: 0.1044 - sparse_categorical_accuracy: 0.9755
Epoch 4/5
68/68 [==============================] - 36s 510ms/step - loss: 0.0141 - sparse_categorical_accuracy: 0.9991
Epoch 5/5
68/68 [==============================] - 34s 485ms/step - loss: 0.0025 - sparse_categorical_accuracy: 1.0000
2/2 [==============================] - 2s 104ms/step - loss: 0.5721 - sparse_categorical_accuracy: 0.8125
results_test_data
[0.5720781087875366, 0.8125]
              precision    recall  f1-score  support
0              0.789474  0.882353  0.833333  34.0000
1              0.846154  0.733333  0.785714  30.0000
accuracy       0.812500  0.812500  0.812500   0.8125
macro avg      0.817814  0.807843  0.809524  64.0000
weighted avg   0.816043  0.812500  0.811012  64.0000
Epoch 1/5
68/68 [==============================] - 50s 688ms/step - loss: 0.6050 - sparse_categorical_accuracy: 0.6684
Epoch 2/5
68/68 [==============================] - 49s 712ms/step - loss: 0.3801 - sparse_categorical_accuracy: 0.8370
Epoch 3/5
68/68 [==============================] - 47s 686ms/step - loss: 0.0918 - sparse_categorical_accuracy: 0.9764
Epoch 4/5
68/68 [==============================] - 49s 705ms/step - loss: 0.0206 - sparse_categorical_accuracy: 0.9963
Epoch 5/5
68/68 [==============================] - 48s 689ms/step - loss: 0.0110 - sparse_categorical_accuracy: 0.9972
2/2 [==============================] - 2s 107ms/step - loss: 1.0116 - sparse_categorical_accuracy: 0.6875
results_test_data
[1.0115712881088257, 0.6875]
              precision    recall  f1-score  support
0              0.607143  0.653846  0.629630  26.0000
1              0.750000  0.710526  0.729730  38.0000
accuracy       0.687500  0.687500  0.687500   0.6875
macro avg      0.678571  0.682186  0.679680  64.0000
weighted avg   0.691964  0.687500  0.689064  64.0000
done

Random forest

if DATASET_VERSION == 1:
    matrices = [  ('Scispacy', matrix_scispacy_pd),
              ('PubTator_Conceptnet',matrix_PubTator_conceptnet_pd),
              ('Scispacy_Conceptnet',matrix_scispacy_conceptnet_pd),
              ('PubTator',matrix_PubTator_pd),
              ('AuthorsNames',matrix_authors_pd),
              ('TF-IDF', matrix_tfidf_pd),
              ('Bow',matrix_bow_pd),
            # Connected matrices
              ('Bow_Scispacy',bow_plus_scispacy_pd), 
              ('Bow_Scispacy_Conceptnet',bow_plus_scispacy_conceptnet_pd), 
              ('Bow_PubTator', bow_plus_PubTator_pd),
              ('Bow_PubTator_Conceptnet', bow_plus_PubTator_conceptnet_pd),
            #Random forest matrices
              ('TF-IDF_BibliometricFeatures',tfidf_plus_bibliometric_features),
            # Rule mining matrices
              ('BibliometricFeatures',bibliomet_matrix_rulemining),
              ('Bow_BibliometricFeatures', bow_plus_bibliometric_features_rule),
              ('Bow_Pubtator_Conceptnet_BibliometricFeatures', bow_plus_PubtConc_plus_BibFeat_pd_rule)
                ]  
    
if DATASET_VERSION == 2:
    matrices = [
              ('TF-IDF', matrix_tfidf_pd),
              ('Bow',matrix_bow_pd)
            ]

Grid

if RUN_GRID_RANDOM_FOREST:
    
    for name, matrix in matrices: 
    
        X_train, X_test, y_train, y_test = train_test_split(matrix, target_bib_features.Target, test_size=0.3, random_state=1)
        from sklearn.model_selection import GridSearchCV

        param_grid = {
        'bootstrap': [True],
        'max_depth': [10,150, 500,1000],
        'max_features': [30,500,3000],
        'min_samples_leaf': [1,10,100],
        'min_samples_split': [2,10,100],
        'n_estimators': [10, 100]
        }

        rf = RandomForestClassifier()

        grid_search_rf = GridSearchCV(estimator = rf, param_grid = param_grid,scoring='accuracy')
        grid_search_rf.fit(X_train, y_train)
        print(name)
        print(grid_search_rf.best_params_)

def run_random_forest(CLASSIFIER:bool,USE_FI_FOR_REDUCTION:bool, USE_GRID:bool, matrices_rf:list,matrix_scispacy_pd=None,
                      matrix_PubTator_conceptnet_pd=None,matrix_scispacy_conceptnet_pd=None,matrix_PubTator_pd=None,matrix_authors_pd=None,
                      matrix_tfidf_pd=None,matrix_bow_pd=None,bow_plus_scispacy_pd=None,bow_plus_scispacy_conceptnet_pd=None,
                      bow_plus_PubTator_pd=None,bow_plus_PubTator_conceptnet_pd=None,tfidf_plus_bibliometric_features=None,
                      bibliomet_matrix_randomforest=None,bow_plus_bibliometric_features=None,bow_plus_PubtConc_plus_BibFeat_pd=None,
                      bibliomet_matrix_rulemining=None,bow_plus_bibliometric_features_rule=None,bow_plus_PubtConc_plus_BibFeat_pd_rule=None):
    dfs = []
    results = []
    names = []
    target_names = ['low', 'high']  
    
    for name, matrix in matrices_rf:
        
        print(name)
        print(matrix.shape)
        
        if USE_GRID == False:
            rf=RandomForestClassifier()  
        if USE_GRID == True:  
            
# # #   Aplying tuning parameters  
            if CLASSIFIER == True:
                if name=="Scispacy":
                    rf=RandomForestClassifier(bootstrap= True, max_depth= 10, max_features= 30, min_samples_leaf= 10, min_samples_split= 100, n_estimators= 1000) 
                if name=='PubTator_Conceptnet':
                    rf=RandomForestClassifier(bootstrap= True, max_depth= 150, max_features= 30, min_samples_leaf= 1, min_samples_split= 100, n_estimators= 10) 
                if name=='Scispacy_Conceptnet':
                    rf=RandomForestClassifier(bootstrap= True, max_depth= 10, max_features= 30, min_samples_leaf= 10, min_samples_split= 100, n_estimators= 100)
                if name=="PubTator":
                    rf=RandomForestClassifier(bootstrap= True, max_depth= 150, max_features= 30, min_samples_leaf= 1, min_samples_split=100, n_estimators= 100)
                if name=="AuthorsNames":
                    rf=RandomForestClassifier(bootstrap= True, max_depth= 1000, max_features= 30, min_samples_leaf= 1, min_samples_split= 10, n_estimators= 100)
                if name=="Bow":
                    rf=RandomForestClassifier(bootstrap=True, max_depth= 150, max_features= 30, min_samples_leaf= 1, min_samples_split= 2, n_estimators= 100)
                if name=='Bow_Scispacy':
                    rf=RandomForestClassifier(bootstrap= True, max_depth=150, max_features= 30, min_samples_leaf= 1, min_samples_split= 10, n_estimators= 100)
                if name=='Bow_Scispacy_Conceptnet':
                    rf=RandomForestClassifier(bootstrap= True, max_depth=500, max_features= 500, min_samples_leaf= 1, min_samples_split= 2, n_estimators= 100)
                if name=='Bow_PubTator':
                    rf=RandomForestClassifier(bootstrap= True, max_depth=1000, max_features= 30, min_samples_leaf= 1, min_samples_split= 2, n_estimators= 100)
                if name=='Bow_PubTator_Conceptnet':
                    rf=RandomForestClassifier(bootstrap=True, max_depth= 150, max_features= 30, min_samples_leaf=1, min_samples_split= 2, n_estimators= 100)
                if name=='TF-IDF':
                    rf=RandomForestClassifier(bootstrap= True, max_depth= 1000, max_features= 30, min_samples_leaf= 1, min_samples_split= 100, n_estimators= 100)
                if name=='TF-IDF_BibliometricFeatures':
                    rf=RandomForestClassifier(bootstrap= True, max_depth= 150, max_features= 30, min_samples_leaf=1, min_samples_split= 100, n_estimators= 100)
                if name=='BibliometricFeatures':
                    rf=RandomForestClassifier(bootstrap=True, max_depth= 10, max_features= 30, min_samples_leaf= 1, min_samples_split= 2, n_estimators= 100)
                if name=='Bow_BibliometricFeatures':
                    rf=RandomForestClassifier(bootstrap= True, max_depth= 500, max_features=30, min_samples_leaf=1, min_samples_split= 100, n_estimators= 100)
                if name=='Bow_Pubtator_Conceptnet_BibliometricFeatures':
                    rf=RandomForestClassifier(bootstrap= True, max_depth= 500, max_features=500, min_samples_leaf= 1, min_samples_split=2, n_estimators= 100)
        
            if CLASSIFIER == False:
                if name=="Scispacy":
                    rf=RandomForestRegressor(bootstrap= True, max_depth= 10, max_features= 30, min_samples_leaf= 10, min_samples_split= 100, n_estimators= 1000) 
                if name=='PubTator_Conceptnet':
                    rf=RandomForestRegressor(bootstrap= True, max_depth= 150, max_features= 30, min_samples_leaf= 1, min_samples_split= 100, n_estimators= 10) 
                if name=='Scispacy_Conceptnet':
                    rf=RandomForestRegressor(bootstrap= True, max_depth= 10, max_features= 30, min_samples_leaf= 10, min_samples_split= 100, n_estimators= 100)
                if name=="PubTator":
                    rf=RandomForestRegressor(bootstrap= True, max_depth= 150, max_features= 30, min_samples_leaf= 1, min_samples_split=100, n_estimators= 100)
                if name=="AuthorsNames":
                    rf=RandomForestRegressor(bootstrap= True, max_depth= 1000, max_features= 30, min_samples_leaf= 1, min_samples_split= 10, n_estimators= 100)
                if name=="Bow":
                    rf=RandomForestRegressor(bootstrap=True, max_depth= 150, max_features= 30, min_samples_leaf= 1, min_samples_split= 2, n_estimators= 100)
                if name=='Bow_Scispacy':
                    rf=RandomForestRegressor(bootstrap= True, max_depth=150, max_features= 30, min_samples_leaf= 1, min_samples_split= 10, n_estimators= 100)
                if name=='Bow_Scispacy_Conceptnet':
                    rf=RandomForestRegressor(bootstrap= True, max_depth=500, max_features= 500, min_samples_leaf= 1, min_samples_split= 2, n_estimators= 100)
                if name=='Bow_PubTator':
                    rf=RandomForestRegressor(bootstrap= True, max_depth=1000, max_features= 30, min_samples_leaf= 1, min_samples_split= 2, n_estimators= 100)
                if name=='Bow_PubTator_Conceptnet':
                    rf=RandomForestRegressor(bootstrap=True, max_depth= 150, max_features= 30, min_samples_leaf=1, min_samples_split= 2, n_estimators= 100)
                if name=='TF-IDF':
                    rf=RandomForestRegressor(bootstrap= True, max_depth= 1000, max_features= 30, min_samples_leaf= 1, min_samples_split= 100, n_estimators= 100)
                if name=='TF-IDF_BibliometricFeatures':
                    rf=RandomForestRegressor(bootstrap= True, max_depth= 150, max_features= 30, min_samples_leaf=1, min_samples_split= 100, n_estimators= 100)
                if name=='BibliometricFeatures':
                    rf=RandomForestRegressor(bootstrap=True, max_depth= 10, max_features= 30, min_samples_leaf= 1, min_samples_split= 2, n_estimators= 100)
                if name=='Bow_BibliometricFeatures':
                    rf=RandomForestRegressor(bootstrap= True, max_depth= 500, max_features=30, min_samples_leaf=1, min_samples_split= 100, n_estimators= 100)
                if name=='Bow_Pubtator_Conceptnet_BibliometricFeatures':
                    rf=RandomForestRegressor(bootstrap= True, max_depth= 500, max_features=500, min_samples_leaf= 1, min_samples_split=2, n_estimators= 100)

            
        if not USE_FI_FOR_REDUCTION:
            # this model is runing because we need to get feature importance first - only for FI purpose ! Is not evaluated, no saved results - not needed.
            if CLASSIFIER == False:
                X_train, X_test, y_train, y_test = train_test_split(matrix, documents.NormCitations, test_size=0.3, random_state=1) 
            
            if CLASSIFIER == True:
                if DATASET_VERSION == 1:
                    X_train, X_test, y_train, y_test = train_test_split(matrix, documents.Target, test_size=0.3, random_state=1)
                if DATASET_VERSION == 2:
                    X_train, X_test, y_train, y_test = train_test_split(matrix, documents.Target, test_size=0.3, random_state=1) 
          
                
            rf.fit(X_train, y_train)  
            importance = pd.Series(rf.feature_importances_, index=X_train.columns).nlargest(10000)
            importance.to_csv("cache/FeatureImportance/importance_RF_" +name +'.csv')  
            final = "Done"
        
        if USE_FI_FOR_REDUCTION:   
            importance = pd.read_csv("cache/FeatureImportance/importance_RF_"+name+".csv", index_col=False, header=0).sort_values(by=["0"],ascending=False)
            list_of_features = importance['Unnamed: 0'].to_list()
            selected_features = itertools.islice(list_of_features, MAX_NO_OF_FEATURES_SCISPACY_AND_PUBT) # grab the first x elements
            
            if name == "Scispacy":
                matrix = matrix_scispacy_pd[selected_features]   #  reduce the matrix     
            if name == "PubTator_Conceptnet":
                matrix= matrix_PubTator_conceptnet_pd[selected_features]   #  reduce the matrix 
            if name == "Scispacy_Conceptnet":
                matrix = matrix_scispacy_conceptnet_pd[selected_features]#  reduce the matrix 
            if name == "PubTator":
                matrix = matrix_PubTator_pd[selected_features] #  reduce the matrix 
            if name =="AuthorsNames":
                matrix = matrix_authors_pd
            if name =="Bow":
                matrix = matrix_bow_pd[selected_features] 
            if name =="TF-IDF":
                matrix = matrix_tfidf_pd[selected_features] 
            if name =="Bow_Scispacy":
                importance = pd.read_csv("cache/FeatureImportance/importance_RF_Scispacy.csv", index_col=False, header=0).sort_values(by=["0"],ascending=False)
                list_of_features = importance['Unnamed: 0'].to_list()
                selected_features = itertools.islice(list_of_features, MAX_NO_OF_FEATURES_SCISPACY_AND_PUBT) # grab the first x elements
                matrix = matrix_scispacy_pd[selected_features].merge(matrix_bow_pd, how='inner', left_index=True, right_index=True)
            if name =="Bow_Scispacy_Conceptnet":
                importance = pd.read_csv("cache/FeatureImportance/importance_RF_Scispacy_Conceptnet.csv", index_col=False, header=0).sort_values(by=["0"],ascending=False)
                list_of_features = importance['Unnamed: 0'].to_list()
                selected_features = itertools.islice(list_of_features, MAX_NO_OF_FEATURES_SCISPACY_AND_PUBT) # grab the first x elements
                matrix = matrix_scispacy_conceptnet_pd[selected_features].merge(matrix_bow_pd, how='inner', left_index=True, right_index=True)
            if name =="Bow_PubTator":
                importance = pd.read_csv("cache/FeatureImportance/importance_RF_PubTator.csv", index_col=False, header=0).sort_values(by=["0"],ascending=False)
                list_of_features = importance['Unnamed: 0'].to_list()
                selected_features = itertools.islice(list_of_features, MAX_NO_OF_FEATURES_SCISPACY_AND_PUBT) # grab the first x elements
                matrix = matrix_PubTator_pd[selected_features].merge(matrix_bow_pd, how='inner', left_index=True, right_index=True)       
            if name =="Bow_PubTator_Conceptnet":
                importance = pd.read_csv("cache/FeatureImportance/importance_RF_PubTator_Conceptnet.csv", index_col=False, header=0).sort_values(by=["0"],ascending=False)
                list_of_features = importance['Unnamed: 0'].to_list()
                selected_features = itertools.islice(list_of_features, MAX_NO_OF_FEATURES_SCISPACY_AND_PUBT) # grab the first x elements
                matrix = matrix_PubTator_conceptnet_pd[selected_features].merge(matrix_bow_pd, how='inner', left_index=True, right_index=True)
            if name =="TF-IDF_BibliometricFeatures":
                matrix = tfidf_plus_bibliometric_features
            if name =="BibliometricFeatures_rf":
                matrix = bibliomet_matrix_randomforest
            if name =="Bow_BibliometricFeatures_rf":
                matrix = bow_plus_bibliometric_features
            if name =="BibliometricFeatures_rule":
                matrix = bibliomet_matrix_rulemining
            if name =="Bow_BibliometricFeatures_rule":
                matrix = bow_plus_bibliometric_features_rule    
            if name=="Bow_Pubtator_Conceptnet_BibliometricFeatures_rf":
                importance = pd.read_csv("cache/FeatureImportance/importance_RF_PubTator_Conceptnet.csv", index_col=False, header=0).sort_values(by=["0"],ascending=False)
                list_of_features = importance['Unnamed: 0'].to_list()
                selected_features = itertools.islice(list_of_features, MAX_NO_OF_FEATURES_SCISPACY_AND_PUBT) # grab the first x elements
                matrix = matrix_PubTator_conceptnet_pd[selected_features].merge(bow_plus_bibliometric_features, how='inner', left_index=True, right_index=True)
            if name=="Bow_Pubtator_Conceptnet_BibliometricFeatures_rule":
                importance = pd.read_csv("cache/FeatureImportance/importance_RF_PubTator_Conceptnet.csv", index_col=False, header=0).sort_values(by=["0"],ascending=False)
                list_of_features = importance['Unnamed: 0'].to_list()
                selected_features = itertools.islice(list_of_features, MAX_NO_OF_FEATURES_SCISPACY_AND_PUBT) # grab the first x elements
                matrix = matrix_PubTator_conceptnet_pd[selected_features].merge(bow_plus_bibliometric_features_rule, how='inner', left_index=True, right_index=True)
                
            if CLASSIFIER == True:
                X_train, X_test, y_train, y_test = train_test_split(matrix, documents.Target, test_size=0.3, random_state=1)
                print(X_train.shape)
                X_train.to_csv("results/matrices/X_train_"+name+"_rule.csv") # save for rule mining
                y_train.to_csv("results/matrices/y_train_"+name+"_rule.csv")
                X_test.to_csv("results/matrices/X_test_"+name+"_rule.csv")
                y_test.to_csv("results/matrices/y_test_"+name+"_rule.csv")  
            
            if CLASSIFIER == False:
                X_train, X_test, y_train, y_test = train_test_split(matrix, documents.NormCitations, test_size=0.3, random_state=1)
            
            print("starting training model")
            rf.fit(X_train, y_train)
            print("training is done")
            
            if CLASSIFIER == True:
                ## Evaluation of model
                y_pred = rf.predict(X_test)     
                clsf_report = pd.DataFrame(classification_report(y_true = y_test, y_pred = y_pred, output_dict=True)).transpose()
                accuracy = clsf_report.iat[2,0]
                precision = clsf_report.iat[4,0]
                recall = clsf_report.iat[4,1]
                f1_score = clsf_report.iat[4,2]
                list_metrics = [accuracy, precision, recall, f1_score]
                keys =["accuracy", "precision", "recall", "f1_score"]
                dictionary = dict(zip(keys, list_metrics))
                results_pd = pd.DataFrame.from_dict(dictionary,orient ='index').T 
                results_pd['model'] = name
                results_pd['number_of_col_in_mtrx'] = X_train.shape[1]
                dfs.append(results_pd)
                print(classification_report(y_test, y_pred, target_names=target_names))   
            
            if CLASSIFIER == False:
                y_pred = rf.predict(X_test)
                MAE = mean_absolute_error(y_test, y_pred)
                MSE = mean_squared_error(y_test, y_pred)
                list_metrics = [MAE, MSE]
                keys =["MAE", "MSE"]
                dictionary = dict(zip(keys, list_metrics))
                results_pd = pd.DataFrame.from_dict(dictionary,orient ='index').T 
                results_pd['model'] = name
                results_pd['number_of_col_in_mtrx'] = X_train.shape[1]
                y_test_bin = [0 if i <=2.0 else 1 for i in y_test]
                y_pred_bin = [0 if i <=2.0 else 1 for i in y_pred]
                X_train, X_test, y_train, y_test = train_test_split(matrix, documents.Target, test_size=0.3, random_state=1)
                clsf_report = pd.DataFrame(classification_report(y_true = y_test_bin, y_pred = y_pred_bin, output_dict=True)).transpose()
                accuracy = clsf_report.iat[2,0]
                results_pd['accuracy'] = accuracy
                
                dfs.append(results_pd)
        
    if USE_FI_FOR_REDUCTION:
        final = pd.concat(dfs, ignore_index=True)
        if DATASET_VERSION ==1:
            if CLASSIFIER ==True:
                final.to_csv("results/randomforest/results_RF_datasetv1.csv") 
            if CLASSIFIER ==False:
                final.to_csv("results/randomforest/results_RF_datasetv1_regression.csv") 
        if DATASET_VERSION ==2:
            if CLASSIFIER ==True:
                final.to_csv("results/randomforest/results_RF_datasetv2.csv")
            if CLASSIFIER ==False:
                final.to_csv("results/randomforest/results_RF_datasetv2_regression.csv") 
           
    return print("Done")

Running to get FI for all matrices

run_random_forest(CLASSIFIER = True,USE_FI_FOR_REDUCTION=False, USE_GRID=True, matrices_rf=matrices)

Scispacy
(2223, 23685)
PubTator_Conceptnet
(2223, 2087)
Scispacy_Conceptnet
(2223, 9483)
PubTator
(2223, 3322)
AuthorsNames
(2223, 162)
TF-IDF
(2223, 1495)
Bow
(2223, 1495)
Bow_Scispacy
(2223, 25180)
Bow_Scispacy_Conceptnet
(2223, 10978)
Bow_PubTator
(2223, 4817)
Bow_PubTator_Conceptnet
(2223, 3582)
TF-IDF_BibliometricFeatures
(2223, 1832)
BibliometricFeatures
(2223, 539)
Bow_BibliometricFeatures
(2223, 2034)
Bow_Pubtator_Conceptnet_BibliometricFeatures
(2223, 4121)
Done

Running to get results for reduced matrices

if DATASET_VERSION ==1:
    run_random_forest(CLASSIFIER = True,USE_FI_FOR_REDUCTION=True, USE_GRID=True, matrices_rf=matrices,
                  matrix_scispacy_pd= matrix_scispacy_pd,
                  matrix_PubTator_conceptnet_pd=matrix_PubTator_conceptnet_pd,
                  matrix_scispacy_conceptnet_pd=matrix_scispacy_conceptnet_pd,
                  matrix_PubTator_pd=matrix_PubTator_pd,
                  matrix_authors_pd=matrix_authors_pd,
                  matrix_tfidf_pd=matrix_tfidf_pd,
                  matrix_bow_pd=matrix_bow_pd,
                  bow_plus_scispacy_pd=bow_plus_scispacy_pd,
                  bow_plus_scispacy_conceptnet_pd=bow_plus_scispacy_conceptnet_pd,
                  bow_plus_PubTator_pd=bow_plus_PubTator_pd,
                  bow_plus_PubTator_conceptnet_pd=bow_plus_PubTator_conceptnet_pd,
                  tfidf_plus_bibliometric_features=tfidf_plus_bibliometric_features,
                  bibliomet_matrix_randomforest= bibliomet_matrix_randomforest,
                  bow_plus_bibliometric_features=bow_plus_bibliometric_features,
                  bow_plus_PubtConc_plus_BibFeat_pd=bow_plus_PubtConc_plus_BibFeat_pd,
                  bibliomet_matrix_rulemining=bibliomet_matrix_rulemining,
                  bow_plus_bibliometric_features_rule=bow_plus_bibliometric_features_rule,
                  bow_plus_PubtConc_plus_BibFeat_pd_rule=bow_plus_PubtConc_plus_BibFeat_pd_rule)
    
    run_random_forest(CLASSIFIER = False,USE_FI_FOR_REDUCTION=True, USE_GRID=True, matrices_rf=matrices,
                  matrix_scispacy_pd= matrix_scispacy_pd,
                  matrix_PubTator_conceptnet_pd=matrix_PubTator_conceptnet_pd,
                  matrix_scispacy_conceptnet_pd=matrix_scispacy_conceptnet_pd,
                  matrix_PubTator_pd=matrix_PubTator_pd,
                  matrix_authors_pd=matrix_authors_pd,
                  matrix_tfidf_pd=matrix_tfidf_pd,
                  matrix_bow_pd=matrix_bow_pd,
                  bow_plus_scispacy_pd=bow_plus_scispacy_pd,
                  bow_plus_scispacy_conceptnet_pd=bow_plus_scispacy_conceptnet_pd,
                  bow_plus_PubTator_pd=bow_plus_PubTator_pd,
                  bow_plus_PubTator_conceptnet_pd=bow_plus_PubTator_conceptnet_pd,
                  tfidf_plus_bibliometric_features=tfidf_plus_bibliometric_features,
                  bibliomet_matrix_randomforest= bibliomet_matrix_randomforest,
                  bow_plus_bibliometric_features=bow_plus_bibliometric_features,
                  bow_plus_PubtConc_plus_BibFeat_pd=bow_plus_PubtConc_plus_BibFeat_pd,
                  bibliomet_matrix_rulemining=bibliomet_matrix_rulemining,
                  bow_plus_bibliometric_features_rule=bow_plus_bibliometric_features_rule,
                  bow_plus_PubtConc_plus_BibFeat_pd_rule=bow_plus_PubtConc_plus_BibFeat_pd_rule)
    
if DATASET_VERSION ==2:
    run_random_forest(CLASSIFIER = True,USE_FI_FOR_REDUCTION=True, USE_GRID=False,
                  matrices_rf = matrices,
                  matrix_tfidf_pd=matrix_tfidf_pd,
                  matrix_bow_pd=matrix_bow_pd
               )
    run_random_forest(CLASSIFIER = False,USE_FI_FOR_REDUCTION=True, USE_GRID=False,
                  matrices_rf = matrices,
                  matrix_tfidf_pd=matrix_tfidf_pd,
                  matrix_bow_pd=matrix_bow_pd
               )

Scispacy
(2223, 23685)
(1556, 1500)
              precision    recall  f1-score   support

         low       0.63      0.49      0.55       324
        high       0.60      0.73      0.66       343

    accuracy                           0.61       667
   macro avg       0.62      0.61      0.61       667
weighted avg       0.62      0.61      0.61       667

PubTator_Conceptnet
(2223, 2087)
(1556, 1500)
              precision    recall  f1-score   support

         low       0.66      0.62      0.64       324
        high       0.66      0.69      0.68       343

    accuracy                           0.66       667
   macro avg       0.66      0.66      0.66       667
weighted avg       0.66      0.66      0.66       667

Scispacy_Conceptnet
(2223, 9483)
(1556, 1500)
              precision    recall  f1-score   support

         low       0.61      0.51      0.55       324
        high       0.60      0.69      0.64       343

    accuracy                           0.60       667
   macro avg       0.60      0.60      0.60       667
weighted avg       0.60      0.60      0.60       667

PubTator
(2223, 3322)
(1556, 1500)
              precision    recall  f1-score   support

         low       0.71      0.59      0.65       324
        high       0.67      0.78      0.72       343

    accuracy                           0.69       667
   macro avg       0.69      0.68      0.68       667
weighted avg       0.69      0.69      0.68       667

AuthorsNames
(2223, 162)
(1556, 162)
              precision    recall  f1-score   support

         low       0.66      0.67      0.67       324
        high       0.68      0.68      0.68       343

    accuracy                           0.67       667
   macro avg       0.67      0.67      0.67       667
weighted avg       0.67      0.67      0.67       667

TF-IDF
(2223, 1495)
(1556, 1495)
              precision    recall  f1-score   support

         low       0.70      0.67      0.68       324
        high       0.70      0.73      0.71       343

    accuracy                           0.70       667
   macro avg       0.70      0.70      0.70       667
weighted avg       0.70      0.70      0.70       667

Bow
(2223, 1495)
(1556, 1495)
              precision    recall  f1-score   support

         low       0.68      0.73      0.70       324
        high       0.72      0.67      0.70       343

    accuracy                           0.70       667
   macro avg       0.70      0.70      0.70       667
weighted avg       0.70      0.70      0.70       667

Bow_Scispacy
(2223, 25180)
(1556, 2995)
              precision    recall  f1-score   support

         low       0.65      0.73      0.69       324
        high       0.71      0.62      0.66       343

    accuracy                           0.67       667
   macro avg       0.68      0.68      0.67       667
weighted avg       0.68      0.67      0.67       667

Bow_Scispacy_Conceptnet
(2223, 10978)
(1556, 2995)
              precision    recall  f1-score   support

         low       0.66      0.77      0.71       324
        high       0.74      0.63      0.68       343

    accuracy                           0.70       667
   macro avg       0.70      0.70      0.69       667
weighted avg       0.70      0.70      0.69       667

Bow_PubTator
(2223, 4817)
(1556, 2995)
              precision    recall  f1-score   support

         low       0.69      0.73      0.71       324
        high       0.73      0.69      0.71       343

    accuracy                           0.71       667
   macro avg       0.71      0.71      0.71       667
weighted avg       0.71      0.71      0.71       667

Bow_PubTator_Conceptnet
(2223, 3582)
(1556, 2995)
              precision    recall  f1-score   support

         low       0.69      0.72      0.71       324
        high       0.73      0.70      0.71       343

    accuracy                           0.71       667
   macro avg       0.71      0.71      0.71       667
weighted avg       0.71      0.71      0.71       667

TF-IDF_BibliometricFeatures
(2223, 1832)
(1556, 1832)
              precision    recall  f1-score   support

         low       0.69      0.78      0.73       324
        high       0.76      0.67      0.71       343

    accuracy                           0.72       667
   macro avg       0.73      0.72      0.72       667
weighted avg       0.73      0.72      0.72       667

BibliometricFeatures
(2223, 539)
(1556, 539)
              precision    recall  f1-score   support

         low       0.64      0.73      0.68       324
        high       0.71      0.62      0.66       343

    accuracy                           0.67       667
   macro avg       0.67      0.67      0.67       667
weighted avg       0.67      0.67      0.67       667

Bow_BibliometricFeatures
(2223, 2034)
(1556, 2034)
              precision    recall  f1-score   support

         low       0.65      0.80      0.72       324
        high       0.76      0.59      0.67       343

    accuracy                           0.70       667
   macro avg       0.71      0.70      0.69       667
weighted avg       0.71      0.70      0.69       667

Bow_Pubtator_Conceptnet_BibliometricFeatures
(2223, 4121)
(1556, 4121)
              precision    recall  f1-score   support

         low       0.66      0.80      0.72       324
        high       0.76      0.61      0.68       343

    accuracy                           0.70       667
   macro avg       0.71      0.71      0.70       667
weighted avg       0.71      0.70      0.70       667

Done
Scispacy
(2223, 23685)
PubTator_Conceptnet
(2223, 2087)
Scispacy_Conceptnet
(2223, 9483)
PubTator
(2223, 3322)
AuthorsNames
(2223, 162)
TF-IDF
(2223, 1495)
Bow
(2223, 1495)
Bow_Scispacy
(2223, 25180)
Bow_Scispacy_Conceptnet
(2223, 10978)
Bow_PubTator
(2223, 4817)
Bow_PubTator_Conceptnet
(2223, 3582)
TF-IDF_BibliometricFeatures
(2223, 1832)
BibliometricFeatures
(2223, 539)
Bow_BibliometricFeatures
(2223, 2034)
Bow_Pubtator_Conceptnet_BibliometricFeatures
(2223, 4121)
Done

SHAP

for name, matrix in matrices: 
    if DATASET_VERSION ==1:
        y = documents.Target
    if DATASET_VERSION ==2:
        y = documents.Target
    rf=RandomForestClassifier()
    importance = pd.read_csv("cache/FeatureImportance/importance_RF_"+name+".csv", index_col=False, header=0)
    importance = importance.sort_values(by=["0"],ascending=False)
    list_of_features = importance['Unnamed: 0'].to_list()
    selected_features = itertools.islice(list_of_features, 25) 
    matrix_reduced=matrix[selected_features]   #  reduce the matrix 
    X = matrix_reduced
    X_train, X_test, Y_train, Y_test = train_test_split(X, y, test_size = 0.3,random_state=1)  
    rf.fit(X_train, Y_train)  
    shap_values = shap.TreeExplainer(rf).shap_values(X)
    print(name)
    f = plt.figure()
    shap.summary_plot(shap_values[0], X)
    f.savefig("results/randomforest/summary_"+name+".pdf", bbox_inches='tight')       

Scispacy

PubTator_Conceptnet

Scispacy_Conceptnet

PubTator

AuthorsNames

TF-IDF

Bow

Bow_Scispacy

Bow_Scispacy_Conceptnet

Bow_PubTator

Bow_PubTator_Conceptnet

TF-IDF_BibliometricFeatures

BibliometricFeatures

Bow_BibliometricFeatures

Bow_Pubtator_Conceptnet_BibliometricFeatures

LIME

# Choose one :

#TEXT = documents["authors"]
TEXT = documents["abstract"]

#vectorizer = TfidfVectorizer(min_df= 10, stop_words={'english'},ngram_range=(1,3))
vectorizer =  CountVectorizer(analyzer = "word", tokenizer = None, ngram_range=(1,3),lowercase = True,strip_accents = "ascii", binary= True, stop_words='english',min_df=MIN_DF)

list_labels = documents["Target"].tolist()
list_corpus = TEXT.tolist()
X_train, X_test, y_train, y_test = train_test_split(list_corpus, list_labels, test_size=0.3, random_state=1)
train_vectors = vectorizer.fit_transform(X_train)
test_vectors = vectorizer.transform(X_test)
rf = RandomForestClassifier()
rf.fit(train_vectors, y_train)   
pred = rf.predict(test_vectors)
c = make_pipeline(vectorizer, rf)
class_names=list(documents.Target.unique())
explainer = LimeTextExplainer(class_names=class_names)

idx = 55   # 400 , 404 , 24, 28, 135

exp = explainer.explain_instance(X_test[idx], c.predict_proba, num_features=100, labels=[0, 1])
exp.show_in_notebook(text=y_test[idx], labels=(1,))

exp =  explainer.explain_instance(X_test[idx], c.predict_proba, num_features=20, labels=(1,))

exp.save_to_file('results/lime/lime4.html')

exp.as_pyplot_figure()

RULE MINING MODELS

For dataset version 1.

if DATASET_VERSION ==1:
    matrices_rule = [     
              ('Scispacy', matrix_scispacy_pd),
              ('PubTator_Conceptnet',matrix_PubTator_conceptnet_pd),
              ('Scispacy_Conceptnet',matrix_scispacy_conceptnet_pd),
              ('PubTator',matrix_PubTator_pd),
              ('AuthorsNames',matrix_authors_pd),  
              ('Bow',matrix_bow_pd),
              ('Bow_Scispacy',bow_plus_scispacy_pd), 
              ('Bow_Scispacy_Conceptnet',bow_plus_scispacy_conceptnet_pd), 
              ('Bow_PubTator',bow_plus_PubTator_pd),
              ('Bow_PubTator_Conceptnet',bow_plus_PubTator_conceptnet_pd),
              ('BibliometricFeatures',bibliomet_matrix_rulemining),
              ('Bow_BibliometricFeatures', bow_plus_bibliometric_features_rule),
              ('Bow_Pubtator_Conceptnet_BibliometricFeatures', bow_plus_PubtConc_plus_BibFeat_pd_rule)
          ]      
    target_names = ['low', 'high']  # there I am not sure what column is what value of target

CORELS

rules_list  = []
dfs = []
results = []
names = []

if DATASET_VERSION ==1:
    scoring = ['accuracy', 'precision_weighted', 'recall_weighted', 'f1_weighted', 'roc_auc']
    corels=CorelsClassifier(n_iter=50, c=0.0000, max_card=2, min_support=0.3)

    for name, matrix in matrices_rule: 
        print(name)
        X_train = pd.read_csv("results/matrices/X_train_"+name+"_rule.csv" ,index_col='doi')
        y_train = pd.read_csv("results/matrices/y_train_"+name+"_rule.csv" ,index_col='doi')
        X_test = pd.read_csv("results/matrices/X_test_"+name+"_rule.csv",index_col='doi')
        y_test = pd.read_csv("results/matrices/y_test_"+name+"_rule.csv",index_col='doi')  
        y_train = np.array(list(map(lambda x: 1 if x=="high" else 0, y_train['Target'])))
        y_test =  np.array(list(map(lambda x: 1 if x=="high" else 0, y_test['Target'])))
    
        X_train = X_train.reset_index()
        del X_train['doi']
        X_train.columns = X_train.columns.map(str)    
        features =[]
        for col in X_train.columns: 
                features.append(col)
                 
        corels=corels.fit(X_train, y_train, features=features, prediction_name="high_citation")       
        y_pred = corels.predict(X_test) 
        antLengths = list(map(lambda r: len(r["antecedents"]), corels.rl().rules))
        avgRuleLengthCorels = sum(antLengths) / len(antLengths)
        ruleCountCorels = len(corels.rl().rules)
   
        names.append(name)
        clsf_report = pd.DataFrame(classification_report(y_true = y_test, y_pred = y_pred, output_dict=True)).transpose()
        print(name)
        print(clsf_report)
        print(type(antLengths))
        print(antLengths)
        print(type(avgRuleLengthCorels))
        print(type(ruleCountCorels))
    
        accuracy = clsf_report.iat[2,0]
        precision = clsf_report.iat[4,0]
        recall = clsf_report.iat[4,1]
        f1_score = clsf_report.iat[4,2]
        list_metrics = [accuracy, precision, recall, f1_score]
        keys =["accuracy", "precision", "recall", "f1_score"]
        dictionary = dict(zip(keys, list_metrics))
        results_pd = pd.DataFrame.from_dict(dictionary,orient ='index').T 
        results_pd['model'] = name
        results_pd['number_of_col_in_mtrx'] = X_train.shape[1]
    
        results_pd['antLengths'] = antLengths[0]
        results_pd['avgRuleLengthCorels'] = avgRuleLengthCorels
        results_pd['ruleCountCorels'] = ruleCountCorels
    
  #  clsf_report.to_csv("results/rule_lists/results_"+name+"_corels.csv", index= True)         
    
        rules=corels.rl()
        f = open("results/rule_lists/results_"+name+"_rules_corels.csv","w")
        f.write(str(rules))
        f.close()
        rules_pd = pd.read_csv("results/rule_lists/results_"+name+"_rules_corels.csv")
        rules_pd['model'] = name
    
        rules_list.append(rules_pd)
        dfs.append(results_pd)

Scispacy
RULELIST:
if [lethal lower respiratory tract infection34 && not simple antibody test methods]:
  high_citation = True
else 
  high_citation = False
Scispacy
              precision    recall  f1-score     support
0              0.582022  0.755102  0.657360  343.000000
1              0.621622  0.425926  0.505495  324.000000
accuracy       0.595202  0.595202  0.595202    0.595202
macro avg      0.601822  0.590514  0.581427  667.000000
weighted avg   0.601258  0.595202  0.583590  667.000000
<class 'list'>
[2, 1]
<class 'float'>
<class 'int'>
PubTator_Conceptnet
RULELIST:
if [not mers && not body]:
  high_citation = False
else 
  high_citation = True
PubTator_Conceptnet
              precision    recall  f1-score     support
0              0.616279  0.772595  0.685640  343.000000
1              0.670886  0.490741  0.566845  324.000000
accuracy       0.635682  0.635682  0.635682    0.635682
macro avg      0.643583  0.631668  0.626243  667.000000
weighted avg   0.642805  0.635682  0.627935  667.000000
<class 'list'>
[2, 1]
<class 'float'>
<class 'int'>
Scispacy_Conceptnet
RULELIST:
if [serogroup && not Arquetipo]:
  high_citation = True
else 
  high_citation = False
Scispacy_Conceptnet
              precision    recall  f1-score     support
0              0.580717  0.755102  0.656527  343.000000
1              0.619910  0.422840  0.502752  324.000000
accuracy       0.593703  0.593703  0.593703    0.593703
macro avg      0.600313  0.588971  0.579640  667.000000
weighted avg   0.599755  0.593703  0.581830  667.000000
<class 'list'>
[2, 1]
<class 'float'>
<class 'int'>
PubTator
RULELIST:
if [not MERS-CoV && not SARS-CoV]:
  high_citation = False
else if [not SARS-CoV && not infection]:
  high_citation = True
else if [not human && not SARS coronavirus]:
  high_citation = True
else if [not MERS-CoV && not human]:
  high_citation = False
else 
  high_citation = True
PubTator
              precision    recall  f1-score    support
0              0.596950  0.798834  0.683292  343.00000
1              0.668269  0.429012  0.522556  324.00000
accuracy       0.619190  0.619190  0.619190    0.61919
macro avg      0.632610  0.613923  0.602924  667.00000
weighted avg   0.631594  0.619190  0.605213  667.00000
<class 'list'>
[2, 2, 2, 2, 1]
<class 'float'>
<class 'int'>
AuthorsNames
RULELIST:
high_citation = False
AuthorsNames
              precision    recall  f1-score     support
0              0.514243  1.000000  0.679208  343.000000
1              0.000000  0.000000  0.000000  324.000000
accuracy       0.514243  0.514243  0.514243    0.514243
macro avg      0.257121  0.500000  0.339604  667.000000
weighted avg   0.264446  0.514243  0.349278  667.000000
<class 'list'>
[1]
<class 'float'>
<class 'int'>
Bow
RULELIST:
if [not factor && not respiratory syndrome]:
  high_citation = False
else 
  high_citation = True
Bow
              precision    recall  f1-score     support
0              0.656716  0.641399  0.648968  343.000000
1              0.629518  0.645062  0.637195  324.000000
accuracy       0.643178  0.643178  0.643178    0.643178
macro avg      0.643117  0.643231  0.643081  667.000000
weighted avg   0.643505  0.643178  0.643249  667.000000
<class 'list'>
[2, 1]
<class 'float'>
<class 'int'>
Bow_Scispacy
RULELIST:
if [respiratory syndrome]:
  high_citation = True
else 
  high_citation = False
Bow_Scispacy
              precision    recall  f1-score     support
0              0.655462  0.682216  0.668571  343.000000
1              0.648387  0.620370  0.634069  324.000000
accuracy       0.652174  0.652174  0.652174    0.652174
macro avg      0.651925  0.651293  0.651320  667.000000
weighted avg   0.652025  0.652174  0.651812  667.000000
<class 'list'>
[1, 1]
<class 'float'>
<class 'int'>
Bow_Scispacy_Conceptnet
RULELIST:
if [respiratory syndrome]:
  high_citation = True
else 
  high_citation = False
Bow_Scispacy_Conceptnet
              precision    recall  f1-score     support
0              0.655462  0.682216  0.668571  343.000000
1              0.648387  0.620370  0.634069  324.000000
accuracy       0.652174  0.652174  0.652174    0.652174
macro avg      0.651925  0.651293  0.651320  667.000000
weighted avg   0.652025  0.652174  0.651812  667.000000
<class 'list'>
[1, 1]
<class 'float'>
<class 'int'>
Bow_PubTator
RULELIST:
if [respiratory syndrome && not method]:
  high_citation = True
else 
  high_citation = False
Bow_PubTator
              precision    recall  f1-score     support
0              0.655827  0.705539  0.679775  343.000000
1              0.661074  0.608025  0.633441  324.000000
accuracy       0.658171  0.658171  0.658171    0.658171
macro avg      0.658450  0.656782  0.656608  667.000000
weighted avg   0.658375  0.658171  0.657268  667.000000
<class 'list'>
[2, 1]
<class 'float'>
<class 'int'>
Bow_PubTator_Conceptnet
RULELIST:
if [respiratory syndrome && not method]:
  high_citation = True
else 
  high_citation = False
Bow_PubTator_Conceptnet
              precision    recall  f1-score     support
0              0.655827  0.705539  0.679775  343.000000
1              0.661074  0.608025  0.633441  324.000000
accuracy       0.658171  0.658171  0.658171    0.658171
macro avg      0.658450  0.656782  0.656608  667.000000
weighted avg   0.658375  0.658171  0.657268  667.000000
<class 'list'>
[2, 1]
<class 'float'>
<class 'int'>
BibliometricFeatures
RULELIST:
if [not FORD_0_aisQ_Q1_D1 && not FORD_0_aisQ_Q1_D2]:
  high_citation = False
else 
  high_citation = True
BibliometricFeatures
              precision    recall  f1-score     support
0              0.687500  0.609329  0.646059  343.000000
1              0.630854  0.706790  0.666667  324.000000
accuracy       0.656672  0.656672  0.656672    0.656672
macro avg      0.659177  0.658060  0.656363  667.000000
weighted avg   0.659984  0.656672  0.656069  667.000000
<class 'list'>
[2, 1]
<class 'float'>
<class 'int'>
Bow_BibliometricFeatures
RULELIST:
if [not license_unk && not middle east]:
  high_citation = False
else 
  high_citation = True
Bow_BibliometricFeatures
              precision    recall  f1-score     support
0              0.666667  0.664723  0.665693  343.000000
1              0.646154  0.648148  0.647149  324.000000
accuracy       0.656672  0.656672  0.656672    0.656672
macro avg      0.656410  0.656436  0.656421  667.000000
weighted avg   0.656702  0.656672  0.656686  667.000000
<class 'list'>
[2, 1]
<class 'float'>
<class 'int'>
Bow_Pubtator_Conceptnet_BibliometricFeatures
RULELIST:
if [FORD_0_impactQ_Q2 && not middle east]:
  high_citation = False
else 
  high_citation = True
Bow_Pubtator_Conceptnet_BibliometricFeatures
              precision    recall  f1-score     support
0              0.716495  0.405248  0.517691  343.000000
1              0.568710  0.830247  0.675031  324.000000
accuracy       0.611694  0.611694  0.611694    0.611694
macro avg      0.642603  0.617747  0.596361  667.000000
weighted avg   0.644707  0.611694  0.594120  667.000000
<class 'list'>
[2, 1]
<class 'float'>
<class 'int'>

if DATASET_VERSION ==1:
    final = pd.concat(dfs, ignore_index=True)
    final.to_csv("results/corels/RESULTS_CORELS.csv")   
    rules_final = pd.concat(rules_list, ignore_index=True)
    rules_final.to_csv("results/corels/RULES_CORELS.csv")   

CBA

if DATASET_VERSION ==1:
    
    rules_list  = []
    dfs = []

    for name, matrix in matrices_rule: 
        X_train = pd.read_csv("results/matrices/X_train_"+name+"_rule.csv" ,index_col='doi')
        y_train = pd.read_csv("results/matrices/y_train_"+name+"_rule.csv" ,index_col='doi')
        X_test = pd.read_csv("results/matrices/X_test_"+name+"_rule.csv",index_col='doi')
        y_test = pd.read_csv("results/matrices/y_test_"+name+"_rule.csv",index_col='doi') 
    
        X_train.shape, y_train.shape, X_test.shape, y_test.shape
        print(X_train.shape)
        print(X_test.shape)
        print(y_test.shape)
        print(y_train.shape)
    
        with localconverter(ro.default_converter + pandas2ri.converter):
            X_train_R = ro.conversion.py2rpy(X_train)
            X_test_R = ro.conversion.py2rpy(X_test)
            y_test_R = ro.conversion.py2rpy(y_test)
            y_train_R = ro.conversion.py2rpy(y_train)
        
            print(type(X_train_R))
                    
        robjects.globalenv["trainFold_X"] = X_train_R
        robjects.globalenv["trainFold_Y"] = y_train_R
        robjects.globalenv["testFold_X"] = X_test_R
        robjects.globalenv["testFold_Y"] = y_test_R
        robjects.globalenv["exp_name"] = name

        # 500 for fast learning, 50000 for best results
        robjects.globalenv["candidate_rule_limit"] = 50000
    
        print(name)
        
        # Execute the CBA pipeline
        # read R program with CBA 
        rscript = open('cordParam.R', 'r').read()
        result = robjects.r(rscript)
    
        pred_perf_df = robjects.globalenv["pred_perf_df"]
        print(pred_perf_df)
        pred_perf_df.to_csv("results/rule_lists/results_cba_50000_" +name +'.csv')
        results_pd = pd.read_csv("results/rule_lists/results_cba_50000_" +name +'.csv')
        results_pd['model'] = name
        results_pd['number_of_col_in_mtrx'] = X_train.shape[1]
        rules_length = robjects.globalenv["rules_length"][0]
        avgRuleLengthCBA = robjects.globalenv["avgRuleLengthCBA"][0]
        results_pd['rules_length']=rules_length
        results_pd['avgRuleLengthCBA']=avgRuleLengthCBA  
        
        print(results_pd)
        dfs.append(results_pd) 
    
        confusion_matrix_cba = robjects.globalenv["confusion_matrix_df"] #also on disk
        print(confusion_matrix_cba)
    
        rules_cba = robjects.globalenv["rules_df"]
        rules_cba.to_csv("results/rule_lists/rules_cba_50000_" +name +'.csv')
        rules_pd = pd.read_csv("results/rule_lists/rules_cba_50000_" +name +'.csv')
        rules_pd['model'] = name
        rules_list.append(rules_pd)

(1556, 1500)
(667, 1500)
(667, 1)
(1556, 1)

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Loading required package: arules

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Loading required package: Matrix

<class 'rpy2.robjects.vectors.DataFrame'>
Scispacy

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: 
Attaching package: 'arules'


WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: The following objects are masked from 'package:base':

    abbreviate, write


WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Loading required package: R.utils

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Loading required package: R.oo

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Loading required package: R.methodsS3

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: R.methodsS3 v1.8.1 (2020-08-26 16:20:06 UTC) successfully loaded. See ?R.methodsS3 for help.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: R.oo v1.24.0 (2020-08-26 16:11:58 UTC) successfully loaded. See ?R.oo for help.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: 
Attaching package: 'R.oo'


WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: The following object is masked from 'package:R.methodsS3':

    throw


WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: The following objects are masked from 'package:methods':

    getClasses, getMethods


WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: The following objects are masked from 'package:base':

    attach, detach, load, save


WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: R.utils v2.11.0 (2021-09-26 08:30:02 UTC) successfully loaded. See ?R.utils for help.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: 
Attaching package: 'R.utils'


WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: The following object is masked from 'package:utils':

    timestamp


WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: The following objects are masked from 'package:base':

    cat, commandArgs, getOption, inherits, isOpen, nullfile, parse,
    warnings


WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Loading required package: discretization

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: 
Attaching package: 'discretization'


WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: The following object is masked from 'package:R.utils':

    insert


WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Executing CBA

Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
        0.5    0.1    1 none FALSE            TRUE       5    0.01      1
 maxlen target  ext
      4  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 15 

set item appearances ...[2 item(s)] done [0.00s].
set transactions ...[1502 item(s), 1556 transaction(s)] done [0.60s].
sorting and recoding items ... [1502 item(s)] done [0.07s].
creating transaction tree ... done [0.02s].
checking subsets of size 1 2 3 done [343.72s].
writing ... [1125751 rule(s)] done [5.80s].
creating S4 object  ... done [0.74s].

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rule mining finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Trimming the rule list to 50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Original rules:  50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rules after data coverage pruning: 30

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Performing default rule pruning.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Final rule list size:  27

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Pruning took: 1019.64  seconds

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: CBA finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Prediction finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Results written to disk

        acc  macroPrecision  macroRecall   macroF1
1  0.593703        0.599613     0.589142  0.580576
   Unnamed: 0       acc  macroPrecision  macroRecall   macroF1     model  \
0           1  0.593703        0.599613     0.589142  0.580576  Scispacy   

   number_of_col_in_mtrx  rules_length  avgRuleLengthCBA  
0                   1500            27          0.962963  
[[139 185]
 [ 86 257]]
(1556, 1500)
(667, 1500)
(667, 1)
(1556, 1)

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Executing CBA

<class 'rpy2.robjects.vectors.DataFrame'>
PubTator_Conceptnet
Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
        0.5    0.1    1 none FALSE            TRUE       5    0.01      1
 maxlen target  ext
      4  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 15 

set item appearances ...[2 item(s)] done [0.00s].
set transactions ...[1260 item(s), 1556 transaction(s)] done [0.01s].
sorting and recoding items ... [108 item(s)] done [0.00s].
creating transaction tree ... done [0.00s].
checking subsets of size 1 2 3 4 done [0.01s].
writing ... [496 rule(s)] done [0.05s].
creating S4 object  ... done [0.01s].

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rule mining finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Trimming the rule list to 50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Original rules:  496

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rules after data coverage pruning: 112

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Performing default rule pruning.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Final rule list size:  73

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Pruning took: 0.38  seconds

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: CBA finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Prediction finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Results written to disk

        acc  macroPrecision  macroRecall   macroF1
1  0.637181        0.642552     0.633724  0.629988
   Unnamed: 0       acc  macroPrecision  macroRecall   macroF1  \
0           1  0.637181        0.642552     0.633724  0.629988   

                 model  number_of_col_in_mtrx  rules_length  avgRuleLengthCBA  
0  PubTator_Conceptnet                   1500            73          1.890411  
[[166 158]
 [ 84 259]]
(1556, 1500)
(667, 1500)
(667, 1)
(1556, 1)

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Executing CBA

<class 'rpy2.robjects.vectors.DataFrame'>
Scispacy_Conceptnet
Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
        0.5    0.1    1 none FALSE            TRUE       5    0.01      1
 maxlen target  ext
      4  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 15 

set item appearances ...[2 item(s)] done [0.00s].
set transactions ...[1502 item(s), 1556 transaction(s)] done [0.43s].
sorting and recoding items ... [1501 item(s)] done [0.06s].
creating transaction tree ... done [0.03s].
checking subsets of size 1 2 3 done [863.42s].
writing ... [1114728 rule(s)] done [5.70s].
creating S4 object  ... done [0.93s].

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rule mining finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Trimming the rule list to 50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Original rules:  50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rules after data coverage pruning: 58

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Performing default rule pruning.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Final rule list size:  3

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Pruning took: 191.1  seconds

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: CBA finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Prediction finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Results written to disk

        acc  macroPrecision  macroRecall   macroF1
1  0.568216        0.567466     0.566839  0.566414
   Unnamed: 0       acc  macroPrecision  macroRecall   macroF1  \
0           1  0.568216        0.567466     0.566839  0.566414   

                 model  number_of_col_in_mtrx  rules_length  avgRuleLengthCBA  
0  Scispacy_Conceptnet                   1500             3          0.666667  
[[168 156]
 [132 211]]
(1556, 1500)
(667, 1500)
(667, 1)
(1556, 1)

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Executing CBA

<class 'rpy2.robjects.vectors.DataFrame'>
PubTator
Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
        0.5    0.1    1 none FALSE            TRUE       5    0.01      1
 maxlen target  ext
      4  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 15 

set item appearances ...[2 item(s)] done [0.00s].
set transactions ...[1502 item(s), 1556 transaction(s)] done [0.01s].
sorting and recoding items ... [89 item(s)] done [0.00s].
creating transaction tree ... done [0.00s].
checking subsets of size 1 2 3 4 done [0.01s].
writing ... [157 rule(s)] done [0.03s].
creating S4 object  ... done [0.00s].

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rule mining finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Trimming the rule list to 50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Original rules:  157

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rules after data coverage pruning: 102

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Performing default rule pruning.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Final rule list size:  64

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Pruning took: 0.2  seconds

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: CBA finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Prediction finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Results written to disk

        acc  macroPrecision  macroRecall   macroF1
1  0.661169        0.668144     0.657731  0.654452
   Unnamed: 0       acc  macroPrecision  macroRecall   macroF1     model  \
0           1  0.661169        0.668144     0.657731  0.654452  PubTator   

   number_of_col_in_mtrx  rules_length  avgRuleLengthCBA  
0                   1500            64          1.703125  
[[174 150]
 [ 76 267]]
(1556, 162)
(667, 162)
(667, 1)
(1556, 1)

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Executing CBA

<class 'rpy2.robjects.vectors.DataFrame'>
AuthorsNames
Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
        0.5    0.1    1 none FALSE            TRUE       5    0.01      1
 maxlen target  ext
      4  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 15 

set item appearances ...[2 item(s)] done [0.00s].
set transactions ...[164 item(s), 1556 transaction(s)] done [0.00s].
sorting and recoding items ... [164 item(s)] done [0.00s].
creating transaction tree ... done [0.00s].
checking subsets of size 1 2 3 4 done [0.01s].
writing ... [1078 rule(s)] done [0.06s].
creating S4 object  ... done [0.01s].

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rule mining finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Trimming the rule list to 50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Original rules:  1078

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rules after data coverage pruning: 127

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Performing default rule pruning.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Final rule list size:  78

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Pruning took: 0.59  seconds

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: CBA finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Prediction finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Results written to disk

        acc  macroPrecision  macroRecall  macroF1
1  0.661169        0.661391     0.661493  0.66115
   Unnamed: 0       acc  macroPrecision  macroRecall  macroF1         model  \
0           1  0.661169        0.661391     0.661493  0.66115  AuthorsNames   

   number_of_col_in_mtrx  rules_length  avgRuleLengthCBA  
0                    162            78          1.358974  
[[218 106]
 [120 223]]
(1556, 1495)
(667, 1495)
(667, 1)
(1556, 1)

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Executing CBA

<class 'rpy2.robjects.vectors.DataFrame'>
Bow
Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
        0.5    0.1    1 none FALSE            TRUE       5    0.01      1
 maxlen target  ext
      4  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 15 

set item appearances ...[2 item(s)] done [0.00s].
set transactions ...[1497 item(s), 1556 transaction(s)] done [0.06s].
sorting and recoding items ... [1497 item(s)] done [0.01s].
creating transaction tree ... done [0.00s].
checking subsets of size 1 2 3 4 done [0.88s].
writing ... [156961 rule(s)] done [0.19s].
creating S4 object  ... done [0.09s].

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rule mining finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Trimming the rule list to 50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Original rules:  50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rules after data coverage pruning: 501

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Performing default rule pruning.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Final rule list size:  264

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Pruning took: 121.68  seconds

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: CBA finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Prediction finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Results written to disk

        acc  macroPrecision  macroRecall   macroF1
1  0.653673        0.660488      0.65617  0.652018
   Unnamed: 0       acc  macroPrecision  macroRecall   macroF1 model  \
0           1  0.653673        0.660488      0.65617  0.652018   Bow   

   number_of_col_in_mtrx  rules_length  avgRuleLengthCBA  
0                   1495           264          2.325758  
[[241  83]
 [148 195]]
(1556, 2995)
(667, 2995)
(667, 1)
(1556, 1)

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Executing CBA

<class 'rpy2.robjects.vectors.DataFrame'>
Bow_Scispacy
Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
        0.5    0.1    1 none FALSE            TRUE       5    0.01      1
 maxlen target  ext
      4  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 15 

set item appearances ...[2 item(s)] done [0.00s].
set transactions ...[2997 item(s), 1556 transaction(s)] done [0.66s].
sorting and recoding items ... [2997 item(s)] done [0.08s].
creating transaction tree ... done [0.01s].
checking subsets of size 1 2 3 done [1845.54s].
writing ... [2687459 rule(s)] done [74.31s].
creating S4 object  ... done [23.57s].

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rule mining finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Trimming the rule list to 50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Original rules:  50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rules after data coverage pruning: 235

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Performing default rule pruning.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Final rule list size:  125

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Pruning took: 526.53  seconds

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: CBA finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Prediction finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Results written to disk

        acc  macroPrecision  macroRecall   macroF1
1  0.697151        0.702251     0.699128  0.696408
   Unnamed: 0       acc  macroPrecision  macroRecall   macroF1         model  \
0           1  0.697151        0.702251     0.699128  0.696408  Bow_Scispacy   

   number_of_col_in_mtrx  rules_length  avgRuleLengthCBA  
0                   2995           125             1.424  
[[249  75]
 [127 216]]
(1556, 2995)
(667, 2995)
(667, 1)
(1556, 1)

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Executing CBA

<class 'rpy2.robjects.vectors.DataFrame'>
Bow_Scispacy_Conceptnet
Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
        0.5    0.1    1 none FALSE            TRUE       5    0.01      1
 maxlen target  ext
      4  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 15 

set item appearances ...[2 item(s)] done [0.00s].
set transactions ...[2997 item(s), 1556 transaction(s)] done [0.51s].
sorting and recoding items ... [2996 item(s)] done [0.06s].
creating transaction tree ... done [0.02s].
checking subsets of size 1 2 3 done [677.00s].
writing ... [2293675 rule(s)] done [54.74s].
creating S4 object  ... done [23.99s].

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rule mining finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Trimming the rule list to 50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Original rules:  50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rules after data coverage pruning: 246

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Performing default rule pruning.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Final rule list size:  138

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Pruning took: 389.67  seconds

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: CBA finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Prediction finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Results written to disk

        acc  macroPrecision  macroRecall   macroF1
1  0.697151        0.703085     0.699299  0.696217
   Unnamed: 0       acc  macroPrecision  macroRecall   macroF1  \
0           1  0.697151        0.703085     0.699299  0.696217   

                     model  number_of_col_in_mtrx  rules_length  \
0  Bow_Scispacy_Conceptnet                   2995           138   

   avgRuleLengthCBA  
0               1.5  
[[251  73]
 [129 214]]
(1556, 2995)
(667, 2995)
(667, 1)
(1556, 1)

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Executing CBA

<class 'rpy2.robjects.vectors.DataFrame'>
Bow_PubTator
Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
        0.5    0.1    1 none FALSE            TRUE       5    0.01      1
 maxlen target  ext
      4  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 15 

set item appearances ...[2 item(s)] done [0.00s].
set transactions ...[2997 item(s), 1556 transaction(s)] done [0.08s].
sorting and recoding items ... [1584 item(s)] done [0.00s].
creating transaction tree ... done [0.01s].
checking subsets of size 1 2 3 4 done [1.52s].
writing ... [182598 rule(s)] done [0.26s].
creating S4 object  ... done [0.10s].

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rule mining finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Trimming the rule list to 50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Original rules:  50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rules after data coverage pruning: 502

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Performing default rule pruning.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Final rule list size:  362

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Pruning took: 140.7  seconds

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: CBA finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Prediction finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Results written to disk

        acc  macroPrecision  macroRecall   macroF1
1  0.665667         0.68123     0.669456  0.661269
   Unnamed: 0       acc  macroPrecision  macroRecall   macroF1         model  \
0           1  0.665667         0.68123     0.669456  0.661269  Bow_PubTator   

   number_of_col_in_mtrx  rules_length  avgRuleLengthCBA  
0                   2995           362          2.162983  
[[260  64]
 [159 184]]
(1556, 2995)
(667, 2995)
(667, 1)
(1556, 1)

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Executing CBA

<class 'rpy2.robjects.vectors.DataFrame'>
Bow_PubTator_Conceptnet
Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
        0.5    0.1    1 none FALSE            TRUE       5    0.01      1
 maxlen target  ext
      4  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 15 

set item appearances ...[2 item(s)] done [0.00s].
set transactions ...[2755 item(s), 1556 transaction(s)] done [0.08s].
sorting and recoding items ... [1603 item(s)] done [0.00s].
creating transaction tree ... done [0.00s].
checking subsets of size 1 2 3 4 done [1.32s].
writing ... [201273 rule(s)] done [0.26s].
creating S4 object  ... done [0.13s].

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rule mining finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Trimming the rule list to 50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Original rules:  50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rules after data coverage pruning: 491

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Performing default rule pruning.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Final rule list size:  426

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Pruning took: 137.51  seconds

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: CBA finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Prediction finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Results written to disk

        acc  macroPrecision  macroRecall   macroF1
1  0.658171        0.675633     0.662253  0.652795
   Unnamed: 0       acc  macroPrecision  macroRecall   macroF1  \
0           1  0.658171        0.675633     0.662253  0.652795   

                     model  number_of_col_in_mtrx  rules_length  \
0  Bow_PubTator_Conceptnet                   2995           426   

   avgRuleLengthCBA  
0          2.129108  
[[261  63]
 [165 178]]
(1556, 539)
(667, 539)
(667, 1)
(1556, 1)

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Executing CBA

<class 'rpy2.robjects.vectors.DataFrame'>
BibliometricFeatures
Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
        0.5    0.1    1 none FALSE            TRUE       5    0.01      1
 maxlen target  ext
      4  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 15 

set item appearances ...[2 item(s)] done [0.00s].
set transactions ...[482 item(s), 1556 transaction(s)] done [0.01s].
sorting and recoding items ... [231 item(s)] done [0.00s].
creating transaction tree ... done [0.00s].
checking subsets of size 1 2 3 4 done [0.03s].
writing ... [3628 rule(s)] done [0.06s].
creating S4 object  ... done [0.01s].

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rule mining finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Trimming the rule list to 50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Original rules:  3628

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rules after data coverage pruning: 209

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Performing default rule pruning.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Final rule list size:  191

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Pruning took: 3.33  seconds

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: CBA finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Prediction finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Results written to disk

        acc  macroPrecision  macroRecall   macroF1
1  0.688156         0.69049     0.689441  0.687953
   Unnamed: 0       acc  macroPrecision  macroRecall   macroF1  \
0           1  0.688156         0.69049     0.689441  0.687953   

                  model  number_of_col_in_mtrx  rules_length  avgRuleLengthCBA  
0  BibliometricFeatures                    539           191          2.167539  
[[238  86]
 [122 221]]
(1556, 2034)
(667, 2034)
(667, 1)
(1556, 1)

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Executing CBA

<class 'rpy2.robjects.vectors.DataFrame'>
Bow_BibliometricFeatures
Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
        0.5    0.1    1 none FALSE            TRUE       5    0.01      1
 maxlen target  ext
      4  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 15 

set item appearances ...[2 item(s)] done [0.00s].
set transactions ...[1977 item(s), 1556 transaction(s)] done [0.09s].
sorting and recoding items ... [1726 item(s)] done [0.01s].
creating transaction tree ... done [0.00s].
checking subsets of size 1 2 3 4 done [1.90s].
writing ... [279745 rule(s)] done [0.41s].
creating S4 object  ... done [0.29s].

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rule mining finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Trimming the rule list to 50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Original rules:  50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rules after data coverage pruning: 480

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Performing default rule pruning.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Final rule list size:  418

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Pruning took: 102.85  seconds

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: CBA finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Prediction finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Results written to disk

       acc  macroPrecision  macroRecall   macroF1
1  0.68066        0.688243     0.683179  0.679134
   Unnamed: 0      acc  macroPrecision  macroRecall   macroF1  \
0           1  0.68066        0.688243     0.683179  0.679134   

                      model  number_of_col_in_mtrx  rules_length  \
0  Bow_BibliometricFeatures                   2034           418   

   avgRuleLengthCBA  
0          2.136364  
[[250  74]
 [139 204]]
(1556, 4121)
(667, 4121)
(667, 1)
(1556, 1)

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Executing CBA

<class 'rpy2.robjects.vectors.DataFrame'>
Bow_Pubtator_Conceptnet_BibliometricFeatures
Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
        0.5    0.1    1 none FALSE            TRUE       5    0.01      1
 maxlen target  ext
      4  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 15 

set item appearances ...[2 item(s)] done [0.00s].
set transactions ...[3548 item(s), 1556 transaction(s)] done [0.08s].
sorting and recoding items ... [1832 item(s)] done [0.01s].
creating transaction tree ... done [0.00s].
checking subsets of size 1 2 3 4 done [2.06s].
writing ... [341300 rule(s)] done [0.41s].
creating S4 object  ... done [0.22s].

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rule mining finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Trimming the rule list to 50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Original rules:  50000

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Rules after data coverage pruning: 467

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Performing default rule pruning.

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Final rule list size:  380

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Pruning took: 103.44  seconds

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: CBA finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Prediction finished

WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Results written to disk

        acc  macroPrecision  macroRecall   macroF1
1  0.676162        0.684332     0.678805  0.674405
   Unnamed: 0       acc  macroPrecision  macroRecall   macroF1  \
0           1  0.676162        0.684332     0.678805  0.674405   

                                          model  number_of_col_in_mtrx  \
0  Bow_Pubtator_Conceptnet_BibliometricFeatures                   4121   

   rules_length  avgRuleLengthCBA  
0           380              2.05  
[[250  74]
 [142 201]]

if DATASET_VERSION ==1:
    final = pd.concat(dfs, ignore_index=True)
    final.to_csv("results/cba/RESULTS_CBA.csv")  
    rules_final = pd.concat(rules_list, ignore_index=True)
    rules_final.to_csv("results/cba/RULES_CBA.csv")   

if DATASET_VERSION ==1:
    rscript = open('cordParamVizualization.R', 'r').read()
    result = robjects.r(rscript)

R[write to console]: Executing CBA

R[write to console]: all to lower case

R[write to console]: original columns 2995

R[write to console]: new columns 2810

R[write to console]: stopwordsOmitted 17

R[write to console]: all to lower case

R[write to console]: original columns 2995

R[write to console]: new columns 2810

R[write to console]: stopwordsOmitted 17

Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
        0.5    0.1    1 none FALSE            TRUE       5    0.01      1
 maxlen target  ext
      4  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 15 

set item appearances ...[2 item(s)] done [0.00s].
set transactions ...[2589 item(s), 1556 transaction(s)] done [0.08s].
sorting and recoding items ... [1544 item(s)] done [0.00s].
creating transaction tree ... done [0.00s].
checking subsets of size 1 2 3 4 done [1.03s].
writing ... [175789 rule(s)] done [0.21s].
creating S4 object  ... done [0.08s].

R[write to console]: camel

R[write to console]: Rules found 500

R[write to console]: Predicting HIGH 500

R[write to console]: Predicting LOW 0

R[write to console]: dromed

R[write to console]: Rules found 573

R[write to console]: Predicting HIGH 573

R[write to console]: Predicting LOW 0

R[write to console]: feline

R[write to console]: Rules found 162

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 162

R[write to console]: dog

R[write to console]: Rules found 35

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 35

R[write to console]: rat

R[write to console]: Rules found 6

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 6

R[write to console]: mouse

R[write to console]: Rules found 1469

R[write to console]: Predicting HIGH 520

R[write to console]: Predicting LOW 949

R[write to console]: bat

R[write to console]: Rules found 292

R[write to console]: Predicting HIGH 292

R[write to console]: Predicting LOW 0

R[write to console]: cow

R[write to console]: Rules found 156

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 156

R[write to console]: bovine

R[write to console]: Rules found 200

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 200

R[write to console]: squirrel

R[write to console]: Rules found 8

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 8

R[write to console]: Rule mining finished

R[write to console]: Trimming the rule list to 50000

R[write to console]: CBA started (this may take a while)

R[write to console]: Original rules:  50000

R[write to console]: Rules after data coverage pruning: 486

R[write to console]: Performing default rule pruning.

R[write to console]: Final rule list size:  355

R[write to console]: Pruning took: 168.15  seconds

R[write to console]: CBA finished

R[write to console]: Prediction finished

R[write to console]: Results written to disk

R[write to console]: COMPUTING WHICH RULE COVERED WHICH TRAINING INSTANCE

R[write to console]: COMPUTING EVALUATION STATS

R[write to console]: accuracy: 0.667166416791604

R[write to console]: CLUSTERING DISCOVERED RULES

R[write to console]: Reading rules from disk

R[write to console]: Warning:
R[write to console]:  Unknown control parameters: lhs_items

Available control parameters (with default values):
k	 =  20
aggr.fun	 =  function (x, ...)  UseMethod("mean")
rhs_max	 =  10
lhs_label_items	 =  2
col	 =  c("#EE0000FF", "#EEEEEEFF")
groups	 =  NULL
engine	 =  ggplot2
verbose	 =  FALSE

R[write to console]: CREATE GRAPH OF SELECTED DISCOVERED RULES

R[write to console]: camel

R[write to console]: Rules found 1

R[write to console]: Predicting HIGH 1

R[write to console]: Predicting LOW 0

R[write to console]: dromed

R[write to console]: Rules found 1

R[write to console]: Predicting HIGH 1

R[write to console]: Predicting LOW 0

R[write to console]: feline

R[write to console]: Rules found 2

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 2

R[write to console]: dog

R[write to console]: Rules found 2

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 2

R[write to console]: rat

R[write to console]: Rules found 1

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 1

R[write to console]: mouse

R[write to console]: Rules found 3

R[write to console]: Predicting HIGH 1

R[write to console]: Predicting LOW 2

R[write to console]: bat

R[write to console]: Rules found 2

R[write to console]: Predicting HIGH 2

R[write to console]: Predicting LOW 0

R[write to console]: cow

R[write to console]: Rules found 0

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 0

R[write to console]: bovine

R[write to console]: Rules found 6

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 6

R[write to console]: squirrel

R[write to console]: Rules found 1

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 1

R[write to console]: Warning:
R[write to console]:  Unknown control parameters: cex

Available control parameters (with default values):
layout	 =  stress
circular	 =  FALSE
ggraphdots	 =  NULL
edges	 =  <environment>
nodes	 =  <environment>
nodetext	 =  <environment>
colors	 =  c("#EE0000FF", "#EEEEEEFF")
engine	 =  ggplot2
max	 =  100
verbose	 =  FALSE
Used control parameters:
layout	 =  stress
circular	 =  FALSE
ggraphdots	 =  NULL
edges	 =  <environment>
nodes	 =  <environment>
nodetext	 =  <environment>
colors	 =  c("#EE0000FF", "#EEEEEEFF")
engine	 =  default
max	 =  100
verbose	 =  TRUE

R[write to console]: camel

R[write to console]: Rules found 1

R[write to console]: Predicting HIGH 1

R[write to console]: Predicting LOW 0

R[write to console]: dromed

R[write to console]: Rules found 1

R[write to console]: Predicting HIGH 1

R[write to console]: Predicting LOW 0

R[write to console]: feline

R[write to console]: Rules found 2

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 2

R[write to console]: dog

R[write to console]: Rules found 2

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 2

R[write to console]: rat

R[write to console]: Rules found 1

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 1

R[write to console]: mouse

R[write to console]: Rules found 3

R[write to console]: Predicting HIGH 1

R[write to console]: Predicting LOW 2

R[write to console]: bat

R[write to console]: Rules found 2

R[write to console]: Predicting HIGH 2

R[write to console]: Predicting LOW 0

R[write to console]: cow

R[write to console]: Rules found 0

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 0

R[write to console]: bovine

R[write to console]: Rules found 6

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 6

R[write to console]: squirrel

R[write to console]: Rules found 1

R[write to console]: Predicting HIGH 0

R[write to console]: Predicting LOW 1

R[write to console]: dpp4

R[write to console]: Rules found 1

R[write to console]: Predicting HIGH 1

R[write to console]: Predicting LOW 0

R[write to console]: Explaining rules

R[write to console]: 1

    lhs                    rhs           support    confidence coverage  
[1] {dpp4, respiratory} => {Target=high} 0.01413882 1          0.01413882
    lift     count
[1] 2.015544 22   

R[write to console]: matchingInstancesLHS:22

R[write to console]: matchingInstancesLHS+RHS:22

R[write to console]: 2

    lhs                  rhs          support    confidence coverage  lift    
[1] {cells, squirrel} => {Target=low} 0.01156812 0.9473684  0.0122108 1.880236
    count
[1] 18   

R[write to console]: matchingInstancesLHS:19

R[write to console]: matchingInstancesLHS+RHS:18

R[write to console]: This rule has some false positivesTRUE

R[write to console]: 1225

R[write to console]: 3

    lhs                rhs          support    confidence coverage   lift    
[1] {cells, bovine} => {Target=low} 0.01863753 0.9666667  0.01928021 1.918537
    count
[1] 29   

R[write to console]: matchingInstancesLHS:30

R[write to console]: matchingInstancesLHS+RHS:29

R[write to console]: This rule has some false positivesTRUE

R[write to console]: 33

R[write to console]: 4

    lhs                     rhs          support   confidence coverage  
[1] {bovine, associated} => {Target=low} 0.0122108 0.9047619  0.01349614
    lift     count
[1] 1.795675 19   

R[write to console]: matchingInstancesLHS:21

R[write to console]: matchingInstancesLHS+RHS:19

R[write to console]: This rule has some false positivesTRUE

R[write to console]: 285810

R[write to console]: 5

    lhs                    rhs          support    confidence coverage 
[1] {bovine, sequences} => {Target=low} 0.01092545 0.8947368  0.0122108
    lift     count
[1] 1.775779 17   

R[write to console]: matchingInstancesLHS:19

R[write to console]: matchingInstancesLHS+RHS:17

R[write to console]: This rule has some false positivesTRUE

R[write to console]: 626711

R[write to console]: 6

    lhs                   rhs          support    confidence coverage  lift    
[1] {bovine, specific} => {Target=low} 0.01092545 0.8947368  0.0122108 1.775779
    count
[1] 17   

R[write to console]: matchingInstancesLHS:19

R[write to console]: matchingInstancesLHS+RHS:17

R[write to console]: This rule has some false positivesTRUE

R[write to console]: 941057

R[write to console]: 7

    lhs                   rhs          support    confidence coverage  
[1] {infected, bovine} => {Target=low} 0.01478149 0.8518519  0.01735219
    lift     count
[1] 1.690665 23   

R[write to console]: matchingInstancesLHS:27

R[write to console]: matchingInstancesLHS+RHS:23

R[write to console]: This rule has some false positivesTRUE

R[write to console]: 283394831

R[write to console]: 8

    lhs                rhs          support    confidence coverage   lift    
[1] {study, bovine} => {Target=low} 0.01735219 0.84375    0.02056555 1.674585
    count
[1] 27   

R[write to console]: matchingInstancesLHS:32

R[write to console]: matchingInstancesLHS+RHS:27

R[write to console]: This rule has some false positivesTRUE

R[write to console]: 286268108311527

R[write to console]: 9

    lhs           rhs           support    confidence coverage   lift     count
[1] {bat, new} => {Target=high} 0.01028278 1          0.01028278 2.015544 16   

R[write to console]: matchingInstancesLHS:16

R[write to console]: matchingInstancesLHS+RHS:16

R[write to console]: 10

    lhs              rhs           support   confidence coverage   lift    
[1] {bat, genome} => {Target=high} 0.0122108 0.95       0.01285347 1.914767
    count
[1] 19   

R[write to console]: matchingInstancesLHS:20

R[write to console]: matchingInstancesLHS+RHS:19

R[write to console]: This rule has some false positivesTRUE

R[write to console]: 476

R[write to console]: 11

    lhs                                  rhs          support    confidence
[1] {central nervous, results, mouse} => {Target=low} 0.01092545 1         
    coverage   lift     count
[1] 0.01092545 1.984694 17   

R[write to console]: matchingInstancesLHS:17

R[write to console]: matchingInstancesLHS+RHS:17

R[write to console]: 12

    lhs              rhs           support    confidence coverage   lift    
[1] {mers, mouse} => {Target=high} 0.01028278 1          0.01028278 2.015544
    count
[1] 16   

R[write to console]: matchingInstancesLHS:16

R[write to console]: matchingInstancesLHS+RHS:16

R[write to console]: 13

    lhs              rhs          support    confidence coverage   lift    
[1] {mouse, cdna} => {Target=low} 0.01156812 0.9        0.01285347 1.786224
    count
[1] 18   

R[write to console]: matchingInstancesLHS:20

R[write to console]: matchingInstancesLHS+RHS:18

R[write to console]: This rule has some false positivesTRUE

R[write to console]: 514829

R[write to console]: 14

    lhs      rhs          support    confidence coverage   lift     count
[1] {rat} => {Target=low} 0.01285347 0.952381   0.01349614 1.890185 20   

R[write to console]: matchingInstancesLHS:21

R[write to console]: matchingInstancesLHS+RHS:20

R[write to console]: This rule has some false positivesTRUE

R[write to console]: 1225

R[write to console]: 15

    lhs               rhs          support    confidence coverage   lift    
[1] {protein, dog} => {Target=low} 0.01028278 0.8888889  0.01156812 1.764172
    count
[1] 16   

R[write to console]: matchingInstancesLHS:18

R[write to console]: matchingInstancesLHS+RHS:16

R[write to console]: This rule has some false positivesTRUE

R[write to console]: 384628

R[write to console]: 16

    lhs              rhs          support    confidence coverage   lift    
[1] {canine, dog} => {Target=low} 0.02506427 0.8478261  0.02956298 1.682675
    count
[1] 39   

R[write to console]: matchingInstancesLHS:46

R[write to console]: matchingInstancesLHS+RHS:39

R[write to console]: This rule has some false positivesTRUE

R[write to console]: 13938460762892911761269

R[write to console]: 17

    lhs                              rhs          support    confidence
[1] {infected, feline infectious} => {Target=low} 0.01028278 0.8421053 
    coverage  lift     count
[1] 0.0122108 1.671321 16   

R[write to console]: matchingInstancesLHS:19

R[write to console]: matchingInstancesLHS+RHS:16

R[write to console]: This rule has some false positivesTRUE

R[write to console]: 3367541548

R[write to console]: 18

    lhs                                       rhs          support   
[1] {infectious, cats, feline coronavirus} => {Target=low} 0.01156812
    confidence coverage   lift    count
[1] 0.8181818  0.01413882 1.62384 18   

R[write to console]: matchingInstancesLHS:22

R[write to console]: matchingInstancesLHS+RHS:18

R[write to console]: This rule has some false positivesTRUE

R[write to console]: 2503364161548

R[write to console]: 19

    lhs                                       rhs           support   
[1] {dromedary, east respiratory syndrome} => {Target=high} 0.02699229
    confidence coverage   lift     count
[1] 1          0.02699229 2.015544 42   

R[write to console]: matchingInstancesLHS:42

R[write to console]: matchingInstancesLHS+RHS:42

R[write to console]: 20

    lhs                             rhs              support confidence   coverage     lift count
[1] {east respiratory syndrome,                                                                  
     camel,                                                                                      
     infection}                  => {Target=high} 0.02377892          1 0.02377892 2.015544    37

R[write to console]: matchingInstancesLHS:37

R[write to console]: matchingInstancesLHS+RHS:37

Author names analysis

Try to detect number of unique author names

Conclusion: it is not possible to detect number of unique names, because many same names are written in different ways.

if DATASET_VERSION == 1:
    
    authors_series = documents['authors']
    authors_series_pd = authors_series.reset_index()
    authors_new = []
    for row in list(authors_series_pd.doi.values):
        authors_series_pd_f = authors_series_pd[authors_series_pd['doi']==row]
    
        if not authors_series_pd_f.authors.values[0].startswith("["):
            new_authors_value = authors_series_pd_f.authors.values[0]
            new_authors_value = new_authors_value.replace(",","_").split(";")
            new_authors_value = [word for word in new_authors_value]
             
        if authors_series_pd_f.authors.values[0].startswith("["):
            new_authors_value = authors_series_pd_f.authors.values[0]
            new_authors_value = ast.literal_eval(new_authors_value)
            new_authors_value = [word.replace(',','_') for word in new_authors_value]
         
        authors_new.append(new_authors_value)
  
    authors_series_pd["authors_new"] = authors_new

    authors_series_pd["authors_new"] = authors_series_pd["authors_new"].astype(str).str.replace(']','').str.replace('[','')
    dummies = authors_series_pd["authors_new"].str.get_dummies(',')
    print("Names")
    print(list(dummies.columns))
    print("Number of names:"+str(len(list(dummies.columns))))

Names
[' " Al‐Aqtash_ Rua\'a A."', ' " D\'Aiuto_ Leonardo"', ' " D\'Souza_ Ryan S."', ' " L\'Haridon_ René"', ' " O\'Malley_ Katherine"', ' " O\'Reilly_ Kathy L."', ' " Pan_ Ji\'an"', ' "O\'Brien_ Stephen J."', ' "O\'Brien_ Timothy E."', ' "O\'Neil_ Kimberly M."', ' "O\'Neill_ Niamh"', " ' Ababneh_ Mustafa Mohammed-Khair'", " ' Abad_ F. X.'", " ' Abanmy_ N.'", " ' Abbasi_ S.'", " ' Abdalla_ Osman'", " ' Abdelazim_ Assem S.'", " ' Abdelazim_ Assem Si'", " ' Abdelazim_ Assem'", " ' Abdellatif_ Niar'", " ' Abdul Rahman_ Omar'", " ' Abdul-Matin_ Mohammed'", " ' Abe_ S.'", " ' Abedi_ Glen R.'", " ' Abraham_ Sushma'", " ' Abraham_ Tara S.'", " ' Abrahante_ Juan E.'", " ' Abrignani_ Sergio'", " ' Abu Duhier_ Faisel M.'", " ' Abu-Asab_ Mones'", " ' Abu-Basha_ Ehab'", " ' Abuhadida_ S.'", " ' Aburizaiza_ Asad S.'", " ' Acevedol_ N. D.'", " ' Achenbach_ Jenna E.'", " ' Achilli_ Giorgio'", " ' Ackermann_ Kerstin'", " ' Adair_ Brian D.'", " ' Addie_ D.D.'", " ' Adiani_ Sri'", " ' Adlhoch_ C.'", " ' Adney_ Danielle'", " ' Adu-Sarkodie_ Yaw'", " ' Adu‐Sarkodie_ Yaw'", " ' Afifi_ Adel'", " ' Agathe_ Lora V.'", " ' Agatic_ Gloria'", " ' Agnihothram_ Sudhakar S.'", " ' Agnihothram_ Sudhakar'", " ' Agrati_ Chiara'", " ' Agrawal_ Anurodh S'", " ' Agrawal_ Anurodh Shankar'", " ' Agrawal_ Anurodh'", " ' Aguas_ Ricardo'", " ' Agudelo_ Juliet'", " ' Aguilella_ Vicente M.'", " ' Ahel_ Ivan'", " ' Ahmed_ Nursarat'", " ' Ahmed_ Shakeel'", " ' Ahmed_ Syed Shakeel'", " ' Ahn_ M.‐J.'", " ' Ahn_ Sul-Ah'", " ' Ahola_ Tero'", " ' Aicher_ Lauri'", " ' Aigerim_ Abdimadiyeva'", " ' Aizaki_ Hideki'", " ' Ajuh_ Paul'", " ' Akachi_ Shigehiro'", " ' Akashi_ Hiroomi'", " ' Akhavan_ Poolak'", " ' Akhlaghpour_ Marzieh'", " ' Al Abdallat_ Mohammad Mousa'", " ' Al Arbash_ Hussain'", " ' Al Dhahiry_ Said H S'", " ' Al Johani_ Sameera M.'", " ' Al Johani_ Sameera'", " ' Al Khal_ Abdullatif'", " ' Al Masri_ Malak'", " ' Al Masri_ Malaki'", " ' Al Masri_ Malakita'", " ' Al Muhairi_ Salama S.'", " ' Al Muhairi_ Salama'", " ' Al Nsour_ Mohannad'", " ' Al Omari_ Bilal'", " ' Al Rabeeah_ Abdullah A.'", " ' Al Romaihi_ Hamad E'", " ' Al Shangiti_ Ali'", " ' Al-Abdely_ Hail M.'", " ' Al-Barrak_ Ali'", " ' Al-Hajjar_ Sami'", " ' Al-Hajri_ Mohammed'", " ' Al-Hajri_ Mohd M.'", " ' Al-Hakeem_ Rafat F'", " ' Al-Hizab_ Fahad'", " ' Al-Khooly_ Dina'", " ' Al-Majali_ Ahmad M.'", " ' Al-Marri_ Salih A'", " ' Al-Marri_ Salih A.'", " ' Al-Masri_ Malak'", " ' Al-Nassir_ Wafa N'", " ' Al-Rabeeah_ Abdullah A'", " ' Al-Rabiah_ Fahad A'", " ' Al-Romaihi_ Hamad'", " ' Al-Saeed_ Muneera S.'", " ' Al-Sanouri_ Tarek'", " ' Al-Shangiti_ Ali M'", " ' Al-Tawfiq_ Jaffar A'", " ' Al-Tawfiq_ Jaffar A.'", " ' Al-Tawfiq_ Jaffar'", " ' Al-Thani_ Mohamed'", " ' Al-amri_ Sawsan S'", " ' Al-nassir_ Wafa N'", " ' Al-sanouri_ Tarek'", " ' AlHajri_ Mohd M'", " ' AlQahtani_ Saeed Yahya'", " ' AlRabiah_ Fahad A'", " ' Alabdullatif_ Zaki N.'", " ' Alagaili_ Abdulaziz N.'", " ' Alaidaroos_ Amal Y'", " ' Alain_ R.'", " ' Alalwani_ Mohamad Sadek'", " ' Alanazi_ M. S.'", " ' Alandonisi_ Munzir M.'", " ' Alaqeel_ Mody'", " ' Alba-Casals_ A.'", " ' Albarrak_ Ali M'", " ' Albarrak_ Ali M.'", " ' Albarrak_ Ali'", " ' Albarrak_ Mohammed M'", " ' Albarrak_ Mohammed M.'", " ' Albert_ Matthew L.'", " ' Albert_ Thomas J.'", " ' Aldabbagh_ Souhaib'", " ' Aleanizy_ F.S.'", " ' Alekseev_ Konstantin P.'", " ' Alekseev_ Konstantin'", " ' Alenius_ Stefan'", " ' Alessa_ Mohammad'", " ' Alfalah_ Haitham'", " ' Alfieri_ Amauri Alcindo'", " ' Algaissi_ Abdullah'", " ' Algarni_ Homoud S.'", " ' Alghamdi_ Mansour M'", " ' Alghamdi_ Mohamed S'", " ' Alghamdi_ Mohammed G.'", " ' Alhabbab_ Rowa Y'", " ' Alhajri_ Farhoud'", " ' Alhakeem_ Raafat F'", " ' Alhakeem_ Raafat F.'", " ' Alhakeem_ Rafat F'", " ' Alhakeem_ Rafat F.'", " ' Alhakeem_ Rafat'", " ' Alhammadi_ M. A.'", " ' Alhamo_ Moyasar A.'", " ' Alharbi_ Naif Khalaf'", " ' Alhawassi_ T.'", " ' Ali El Hadi Mohamed_ R.'", " ' Ali_ Mohamed A'", " ' Ali_ Mohamed A.'", " ' Aljuaid_ Abdulelah'", " ' Allen Chan_ KC'", " ' Allen_ Paul'", " ' Allée_ C.'", " ' Allée_ Chantal'", " ' Almakhlafi_ Ghaleb A'", " ' Almalki_ Shaia S'", " ' Almari_ Aref'", " ' Almasri_ Malak M.'", " ' Almasri_ Malak'", " ' Almathen_ Faisal'", " ' Almazan_ Fernando'", " ' Almazán_ Fernando'", " ' Almeida_ Marcius S.'", " ' Almes_ Kelli M.'", " ' Almulhim_ Abdulmohsen'", " ' Alnaeem_ A. A.'", " ' Alnaeem_ Abdelmohsen'", " ' Alnaeem_ Abdulmohsen'", " ' Alonso_ S.'", " ' Alonso_ Sara'", " ' Alothman_ Adel'", " ' Aloudah_ Nouf M.'", " ' Alqasrawi_ Sultan'", " ' Alrabeeah_ Abdullah A'", " ' Alrabiah_ Fahad A.'", " ' Alrasheed_ M. M.'", " ' Alresheedi_ Husain'", " ' Alsaab_ Hanan A.'", " ' Alsalamah_ Majid A.'", " ' Alsalmi_ Hanadi'", " ' Alshamrani_ Majid M.'", " ' Alsharef_ Ali A.'", " ' Alsharef_ Ali Abraheem'", " ' Alshayab_ Zainab'", " ' Alshukairi_ Abeer N.'", " ' Alshukairi_ Abeer'", " ' Alsop_ J.'", " ' Alsubaie_ Sarah'", " ' Alterson_ Harold'", " ' Altmeyer_ R.'", " ' Altmeyer_ Ralf'", " ' Altuwaijri_ Talal A.'", " ' Alvarez_ Enrique'", " ' Alvarez_ Karine'", " ' Alvarez_ Xavier'", " ' Alviola_ Phillip'", " ' Alyahya_ Hamed A.'", " ' Al‐Jahdali_ Hamdan'", " ' Amankwa_ Joseph'", " ' Amano_ Arisa'", " ' Amano_ Y.'", " ' Amar_ Ait Amrane'", " ' Amarin_ Nadim'", " ' Amberg_ Sean M.'", " ' Ambrosino_ Donna M.'", " ' Amelot_ Michel'", " ' Amer_ Hala'", " ' Amer_ Manal Fouad'", " ' Ami_ Yasushi'", " ' Amin_ Mohammad Al'", " ' Amini_ Yasaman'", " ' Amzel_ L. Mario'", " ' An_ Dong-Jun'", " ' An_ Xiao-Ping'", " ' And_ Albert Stühler'", " ' Anders_ C.'", " ' Andersen_ O.'", " ' Anderson_ Danielle E.'", " ' Anderson_ Larry J.'", " ' Anderson_ Larry'", " ' Anderson_ Robert'", " ' Andeweg_ Arno C.'", " ' Andonov_ Anton'", " ' Andraud_ Mathieu'", " ' Andres_ Erica L.'", " ' Andrés_ German'", " ' Anghelina_ Daniela'", " ' Annan_ Augustina'", " ' Anson_ Brandon J.'", " ' Antel_ Jack P.'", " ' Anthony_ Richard P.'", " ' Antonio_ G. E.'", " ' Antón_ Inés M.'", " ' Aoki_ Fred'", " ' Arabi_ Yaseen M.'", " ' Arguin_ Paul M.'", " ' Armesto_ Maria'", " ' Armstrong_ J. S.'", " ' Arnold_ Eddy'", " ' Asa_ Sylvia L.'", " ' Asagi_ M.'", " ' Ashbrook_ Alison W.'", " ' Ashmun_ Richard A.'", " ' Assad_ Maher'", " ' Assiri_ Abdullah M'", " ' Assiri_ Abdullah M.'", " ' Assiri_ Abdullah'", " ' Astolphi_ R. D.'", " ' Athar_ Muhammad Ammar'", " ' Athmer_ Jeremiah'", " ' Atkinson_ Roscoe'", " ' Atta_ Muzzamil'", " ' Au-Yeung_ Rex Kwok-Him'", " ' Au_ Florence W.L.'", " ' Au_ Florence WL'", " ' Au_ TCC'", " ' Aubert_ J.-D.'", " ' Aubin_ Yoann'", " ' Austyn_ Jonathan M'", " ' Avila_ Pedro C.'", " ' Aws_ Ghassan'", " ' Ayelet_ Gelagay'", " ' Ayres_ Giselle R. R.'", " ' Ayres_ Giselle Razera'", " ' Azetaka_ Masayuki'", " ' Azhar\\u200a_ Esam I.'", " ' Azhar_ Esam I'", " ' Azziz-Baumgartner_ Eduardo'", " ' BALDWIN_ C.A.'", " ' BARLOUGH_ J.E.'", " ' BECK_ HEENA S.'", " ' BENSON_ JACQUELINE M.'", " ' BRANIGAN_ PATRICK J.'", " ' BRIDGES_ A.'", " ' BRITTON_ PAUL'", " ' BROWN_ I.'", " ' BU_ ZHIGAO'", " ' Ba_ Lei'", " ' Baas_ Tracey'", " ' Babcock_ Gregory J.'", " ' Babiker_ M.'", " ' Babiuk_ Lorne A.'", " ' Bader_ Oliver'", " ' Baer_ Patrick C.'", " ' Baez-Santos_ Yahira M.'", " ' Baez_ Yahira'", " ' Baffoe-Bonnie_ Henry'", " ' Bagdzhadzhyan_ Anush'", " ' Bagnaud_ Audrey'", " ' Baharoon_ Salim'", " ' Bahloul_ Abdelkarim'", " ' Bai_ Bingke'", " ' Bai_ Chuan'", " ' Bai_ Donglu'", " ' Bai_ Xin L.'", " ' Bai_ Yu'", " ' Bai_ Zhihong'", " ' Baig_ Kamran'", " ' Bailer_ Robert T.'", " ' Bair_ Thomas B.'", " ' Bairad_ Dev Raj'", " ' Baker_ Susan C.'", " ' Baker_ Susan'", " ' Bakker_ Alexander B. H.'", " ' Bakker_ Alexander BH'", " ' Balasch_ Monica'", " ' Balasuriya_ U. B. R.'", " ' Balasuriya_ Udeni B.R.'", " ' Baldanti_ Fausto'", " ' Baldwin_ Heather J.'", " ' Balemba_ Onesmo B.'", " ' Baliji_ Surendranath'", " ' Balkhy_ Hanan H'", " ' Balkhy_ Hanan H.'", " ' Ballesteros_ María L.'", " ' Balzarini_ J.'", " ' Ban_ V.V.'", " ' Banach_ Bridget S.'", " ' Banach_ Bridget'", " ' Banachowicz_ Ewa'", " ' Banaser_ Talib M.'", " ' Bank-Wolf_ Barbara'", " ' Bankhead_ Armand R.'", " ' Bankhead_ Armand'", " ' Bannai_ Hiroshi'", " ' Banner_ Lisa R.'", " ' Bao_ Jinku'", " ' Bao_ Linlin'", " ' Bao_ Wanrong'", " ' Barchet_ Winfried'", " ' Bard_ Frédéric'", " ' Baric_ R. S.'", " ' Baric_ Ralph A.'", " ' Baric_ Ralph S.'", " ' Baric_ Ralph'", " ' Barlan_ Arlene'", " ' Barlough_ J. E.'", " ' Barnard_ Dale'", " ' Baron_ R.'", " ' Barrachina_ Josep'", " ' Barratt-Boyes_ Simon'", " ' Barrett_ Nicholas A'", " ' Barretto_ Naina'", " ' Barrila_ Jennifer'", " ' Barry_ Mazin'", " ' Barta_ John R.'", " ' Bartczak_ Agata'", " ' Bartelink_ Willem'", " ' Barthold_ S. W.'", " ' Barthold_ Stephen W.'", " ' Bartlam_ Mark'", " ' Bartlett_ Jeanine H.'", " ' Bartrand_ Timothy A.'", " ' Basak_ Ajoy'", " ' Basaraba_ Randall J.'", " ' Bashford-Rogers_ Rachael'", " ' Baster_ Zbigniew'", " ' Batenburg_ Joseph J.'", " ' Bates_ Amber M.'", " ' Bates_ Paul'", " ' Battaglia_ Massimo'", " ' Bauer_ G'", " ' Bauer_ G.'", " ' Bauer_ Sandra'", " ' Bauer_ Stefanie'", " ' Bauman_ Beverley E.'", " ' Baumgärtner_ Wolfgang'", " ' Bausch_ Daniel G.'", " ' Bausch_ Daniel'", " ' Bavari_ Sina'", " ' Bawareth_ Noha'", " ' Bayer_ Sonja'", " ' Beall_ Anne'", " ' Beauchemin_ Nicole'", " ' Bechill_ John'", " ' Becker_ Björn'", " ' Becker_ Christin'", " ' Becker_ Michelle M.'", " ' Becker_ Stephan'", " ' Bednar_ Valerie'", " ' Begeman_ Lineke'", " ' Begliatti_ Enrica'", " ' Behillil_ Sylvie'", " ' Beier_ Sandra'", " ' Beissert_ Tim'", " ' Bekker_ Cornelis P. J.'", " ' Belisle_ Sarah E.'", " ' Bell_ John I'", " ' Bell_ Peter'", " ' Bellei_ Nancy'", " ' Bellini_ William J'", " ' Bellini_ William J.'", " ' Bellmann_ S'", " ' Belouzard_ Sandrine'", " ' Belák_ Sándor'", " ' Ben Bencheikh_ Med Nadir'", " ' Benaissa-Trouw_ B.J.'", " ' Bender_ Susan J.'", " ' Benecke_ Arndt G.'", " ' Bennett_ Corey J.'", " ' Bensaid_ A.'", " ' Bensaid_ Albert'", " ' Bensalah_ Oum Keltoum A.'", " ' Berardi_ Marcelo'", " ' Bereagesh_ Samar'", " ' Berends_ Alinda J.'", " ' Bergelson_ Jeffrey M.'", " ' Berglund_ Andrew'", " ' Bergmann_ Cornelia C.'", " ' Berkhout_ B.'", " ' Berkhout_ Ben'", " ' Berkhout_ Ron J M'", " ' Berland_ Jean-Luc'", " ' Bermingham_ Alison'", " ' Bernard_ Henry'", " ' Bernard_ Kristen A.'", " ' Bernard_ S.'", " ' Bernbaum_ John G.'", " ' Berne_ Michael A.'", " ' Berniak_ Krzysztof'", " ' Bernini_ Andrea'", " ' Berry_ Jody D.'", " ' Berthe_ F.'", " ' Berthiaume_ L.'", " ' Berthon_ P.'", " ' Bertoletti_ Antonio'", " ' Bertram_ Stephanie'", " ' Bestagno_ Marco'", " ' Bestebroer_ Theo M.'", " ' Bestwick_ Richard K.'", " ' Betzi_ Stephane'", " ' Beugeling_ Corrine'", " ' Bhatnagar_ Aruni'", " ' Bi_ Zhen'", " ' Bianchi_ Elisabetta'", " ' Bickerton_ Erica'", " ' Bicknell_ Katrina'", " ' Bielefeldt-Ohmann_ Helle'", " ' Biggs_ Holly M.'", " ' Bin Kim_ Hong'", " ' Binger_ Tabea'", " ' Birch_ Chris'", " ' Birdwell_ L. Dillon'", " ' Bitek_ Austine'", " ' Blanc_ Hervé'", " ' Blanchard_ Y.'", " ' Blanjoie_ Alexandre'", " ' Blau_ Dianna M.'", " ' Bleau_ Christian'", " ' Bleumink-Pluym_ N.M.C.'", " ' Bloch_ B.'", " ' Block_ Timothy M.'", " ' Blount_ Andrew'", " ' Bo_ X.'", " ' Boas_ Lucy Vilas'", " ' Bock_ Kevin W.'", " ' Bode_ Udo'", " ' Boeckh_ Michael'", " ' Boedeker_ Nancy'", " ' Bolles_ Meagan'", " ' Bollinger_ Trent K.'", " ' Bonatti_ S.'", " ' Bonavia_ Aurelio'", " ' Bond_ S. J.'", " ' Bonetti_ A.M.'", " ' Bonin_ F.'", " ' Bonin_ Frank'", " ' Bonnaud_ Emmanuel'", " ' Boomaars-van der Zanden_ A Linda'", " ' Boons_ Geert-Jan'", " ' Booth_ Tim F'", " ' Bordi_ Licia'", " ' Borg_ Jean-Paul'", " ' Bornstein_ Set'", " ' Borrás-Cuesta_ Francisco'", " ' Borst_ G.H.A.'", " ' Boscarino_ Joseph A.'", " ' Bosch_ B. J.'", " ' Bosch_ Berend J.'", " ' Bosch_ Berend Jan'", " ' Bosch_ Berend-J'", " ' Bosch_ Berend-Jan'", " ' Bosch_ Berend‐Jan'", " ' Bosis_ Samantha'", " ' Boson_ Bertrand'", " ' Bossis_ Ioannis'", " ' Bottazzi_ Maria Elena'", " ' Bottomly_ Kim'", " ' Bottreau_ E.'", " ' Boucher_ Charles A. B.'", " ' Boularan_ Cedric'", " ' Bouma_ Peter'", " ' Bourhis_ Jean-Marie'", " ' Bourouiba_ Lydia'", " ' Boursnell_ Michael E. G.'", " ' Boushey_ Homer A.'", " ' Boussini_ Hiver'", " ' Bouvet_ Mickaël'", " ' Bove_ Peter F.'", " ' Bowen_ Richard'", " ' Bowman_ Brian R.'", " ' Boyd_ David A. K.'", " ' Boyer_ Julie'", " ' Bozzoni_ Irene'", " ' Bracke_ Ken R'", " ' Bradford_ Miranda C'", " ' Braga Lagache_ Sophie'", " ' Brain_ David'", " ' Brandon_ Elizabeth'", " ' Brandão_ Paulo E.'", " ' Breakwell_ Lucy'", " ' Bredenbeek_ Peter J.'", " ' Brendese_ John'", " ' Breves_ Gerhard'", " ' Brewer_ Joseph W.'", " ' Breña_ Patricia'", " ' Brian_ D. A.'", " ' Brian_ D.A.'", " ' Brian_ David A.'", " ' Briand_ F. X.'", " ' Bricogne_ Gérard'", " ' Brierley_ I.'", " ' Briese_ Thomas'", " ' Brik_ Ashraf'", " ' Brining_ Douglas L.'", " ' Brison_ Élodie'", " ' Britton_ P.'", " ' Britton_ Paul'", " ' Brockway_ Sarah M.'", " ' Broder_ Christopher C.'", " ' Broer_ Rene'", " ' Brogden_ Kim A.'", " ' Brom_ Maarten'", " ' Brookes_ Sharon'", " ' Brooks_ Gavin'", " ' Brooks_ Harriet W'", " ' Brooun_ Alexei'", " ' Brossart_ Peter'", " ' Brouard_ Jacques'", " ' Brown_ Bonnie'", " ' Brown_ I.H.'", " ' Brown_ T. David K.'", " ' Brown_ T.D.K'", " ' Brown_ T.D.K.'", " ' Brown_ T.David K.'", " ' Brownlie_ J.'", " ' Brownlie_ Joe'", " ' Brownstein_ John S'", " ' Bruckmann_ Chiara'", " ' Bruggmann_ Rémy'", " ' Brunori_ Maurizio'", " ' Brusselle_ Guy G'", " ' Bruzzone_ R.'", " ' Bruzzone_ Roberto'", " ' Bryan_ T'", " ' Bryan_ T.'", " ' Bryan_ T.A'", " ' Bryan_ Thomas'", " ' Bryan_ Tom A.'", " ' Brémond_ Nicolas'", " ' Brünink_ Sebastian'", " ' Buathong_ Rome'", " ' Buchholz_ Ursula J'", " ' Buchholz_ Ursula J.'", " ' Buchmeier_ Michael J.'", " ' Buckles_ Elizabeth'", " ' Buckley_ A'", " ' Buckley_ Alexandra C.'", " ' Bukreyev_ Alexander'", " ' Buller_ R. Mark'", " ' Bullido_ María J.'", " ' Bulthuis_ MLC'", " ' Bunzel_ Robert J.'", " ' Buonavoglia_ C'", " ' Buonavoglia_ C.'", " ' Buonavoglia_ Canio'", " ' Buonavoglia_ Domenico'", " ' Burch_ Christina L.'", " ' Burkard_ Christine'", " ' Burkett_ Susan E.'", " ' Burkett_ Susan'", " ' Burmistrz_ Michal'", " ' Burns_ Jane C.'", " ' Burrell_ Mamie L.'", " ' Burrone_ Oscar R.'", " ' Burton_ K.'", " ' Burton_ Miriam D.'", " ' Burwinkel_ Michael'", " ' Busfield_ F'", " ' Bushmaker_ Trenton'", " ' Bussetta_ Cécile'", " ' Butany_ J.'", " ' Butany_ Jagdish'", " ' Butunoi_ Catalin'", " ' Buzyn_ Agnès'", " ' Byarugaba_ D. K.'", " ' Bylapudi_ Ganesh'", " ' Byrum_ Beverly'", " ' Byrum_ Russ'", " ' Bárcena_ Montserrat'", " ' Bøtner_ A.'", " ' Büttner_ Stefan'", " ' CARTON_ JILL M.'", " ' CARTWRIGHT_ S.F.'", " ' CAVANAGH_ DAVID'", " ' CHANOCK_ ROBERT M.'", " ' CHEN_ HUALAN'", " ' CHEUNG_ Thomas Man‐Tat'", " ' CUNNINGHAM_ MARK R.'", " ' Cabirac_ Gary F.'", " ' Caffarelli_ Elisa'", " ' Caffrey_ Michael'", " ' Cai_ Guang-Yun'", " ' Cai_ Hui'", " ' Cai_ James J.'", " ' Cai_ Jian-Piao'", " ' Cai_ Jian-hua'", " ' Cai_ Junjie'", " ' Cai_ Yingyun'", " ' Cai_ Yun'", " ' Cajimat_ Maria'", " ' Calcaterra_ Nicholas E.'", " ' Callebaut_ P. E.'", " ' Callebaut_ P.'", " ' Callendret_ Benoît'", " ' Calvo_ Enrique'", " ' Camacho_ Ana G.'", " ' Camacho_ Ana'", " ' Camafeita_ Emilio'", " ' Cambillau_ Christian'", " ' Camero_ Michele'", " ' Cameron_ Mark'", " ' Cammer_ Stephen A.'", " ' Campanacci_ Valérie'", " ' Campanini_ Giulia'", " ' Campbell_ Angela P.'", " ' Campbell_ I.'", " ' Canard_ Bruno'", " ' Canducci_ Filippo'", " ' Cantoni_ Giovanna'", " ' Cao_ Cheng'", " ' Cao_ Hong'", " ' Cao_ Hongwei'", " ' Cao_ Jianzhong'", " ' Cao_ Shuyi'", " ' Cao_ Wei-sheng'", " ' Cao_ Zhongzan'", " ' Capiscol_ Carmen'", " ' Capobianchi_ Maria Rosaria'", " ' Capucchio_ M. T.'", " ' Carbajo-Lozoya_ Javier'", " ' Cardellechio_ Christine B.'", " ' Cardellichio_ Christine B.'", " ' Cardosa_ Jane'", " ' Cardoso_ T.C.'", " ' Carfi_ Andrea'", " ' Carfí_ Andrea'", " ' Cariou_ Alain'", " ' Carmichael_ L. E.'", " ' Caro_ Valérie'", " ' Carrion_ Ricardo'", " ' Carter_ Kristen'", " ' Carter_ S.D.'", " ' Carter_ Victoria S.'", " ' Carville_ Angela'", " ' Casais_ Rosa'", " ' Casanova_ James E.'", " ' Case_ James Brett'", " ' Cassell_ Martin'", " ' Castanheira_ T. L. L.'", " ' Castaño-Rodriguez_ Carlos'", " ' Castilletti_ Concetta'", " ' Cattaneo_ Ercole'", " ' Catton_ Mike'", " ' Cauchemez_ Simon'", " ' Caul_ E. O.'", " ' Cavalli_ Alessandra'", " ' Cavanagh_ D'", " ' Cavanagh_ D.'", " ' Cavanagh_ Dave'", " ' Cavanagh_ David'", " ' Cereda_ Paolo'", " ' Ceriani_ Juan E'", " ' Cha_ Young-Je'", " ' Chagnon_ Fanny'", " ' Chakraborti_ Samitabh'", " ' Chan_ C. M.'", " ' Chan_ CS'", " ' Chan_ CWM'", " ' Chan_ Charis M. N.'", " ' Chan_ Che-Man'", " ' Chan_ Chi-Ping'", " ' Chan_ Daphne Z. L.'", " ' Chan_ E.'", " ' Chan_ F. K. L.'", " ' Chan_ Ho Yin Edwin'", " ' Chan_ Ivy Hau-Yee'", " ' Chan_ Jasper F W'", " ' Chan_ Jasper F. W.'", " ' Chan_ Jasper Fuk-Woo'", " ' Chan_ Jimmy Yu-Wai'", " ' Chan_ K C Allen'", " ' Chan_ K-F'", " ' Chan_ K. H.'", " ' Chan_ K.-H.'", " ' Chan_ K.H'", " ' Chan_ KCA'", " ' Chan_ KH'", " ' Chan_ KS'", " ' Chan_ Kelvin Y K'", " ' Chan_ Kin-ho'", " ' Chan_ Kwai Peng'", " ' Chan_ Kwok H.'", " ' Chan_ Kwok Hung'", " ' Chan_ Kwok-Hung'", " ' Chan_ Kwok-hung'", " ' Chan_ Li-Chong'", " ' Chan_ Louis'", " ' Chan_ MN'", " ' Chan_ Michael C W'", " ' Chan_ P K-S'", " ' Chan_ P. K. S.'", " ' Chan_ PKS'", " ' Chan_ Paul K. S.'", " ' Chan_ Paul K.S.'", " ' Chan_ Paul KS'", " ' Chan_ Paul Kay-Sheung'", " ' Chan_ S. M. S.'", " ' Chan_ Shzu-Wei'", " ' Chan_ Siu‐Hong'", " ' Chan_ Tak-Mao'", " ' Chan_ Teh-Sheng'", " ' Chan_ Teh-sheng'", " ' Chan_ Tehsheng'", " ' Chan_ Tsun-leung'", " ' Chan_ W. S.'", " ' Chan_ Wing-Lim'", " ' Chan_ Wood-Yee'", " ' Chan_ Yi-Lin'", " ' Chan_ Yu-Jiun'", " ' Chan_ Yuk On'", " ' Chandra-Schoenfelder_ Priya'", " ' Chandra_ P'", " ' Chang_ Chung-Ke'", " ' Chang_ Cynthia Xin Lei'", " ' Chang_ Eunjin'", " ' Chang_ Geen-Dong'", " ' Chang_ Guohui'", " ' Chang_ Hsiao-Ling'", " ' Chang_ Jean'", " ' Chang_ Jinhong'", " ' Chang_ K. O.'", " ' Chang_ K.-O.'", " ' Chang_ L.-Y.'", " ' Chang_ Ling'", " ' Chang_ Luan-Yin'", " ' Chang_ Margaret Dah-Tsyr'", " ' Chang_ Mau-Sun'", " ' Chang_ Ming-Fu'", " ' Chang_ Ruey-Yi'", " ' Chang_ Ruey-yi'", " ' Chang_ Shan-Chwen'", " ' Chang_ Shin C.'", " ' Chang_ So Young'", " ' Chang_ Wei-Lun'", " ' Chang_ Ying-Feng'", " ' Chang_ Yu-Fen'", " ' Chang_ Yuan-Hsiang'", " ' Chang_ Yung-Fu'", " ' Channapannavar_ Rudragouda'", " ' Channappanavar_ Rudragouda'", " ' Chao_ Fa-An'", " ' Chao_ Fu-Huan'", " ' Chao_ Pei-Dawn Lee'", " ' Chao_ Ru Kwa'", " ' Chao_ Yu-Chan'", " ' Chao_ Yu-Sheng'", " ' Chaovavanich_ Achara'", " ' Chapman_ A.J'", " ' Chappell_ James D.'", " ' Chappell_ Mark'", " ' Charlier_ G.'", " ' Chase_ Peter'", " ' Chatterjee_ Amarnath'", " ' Chaudhuri_ Rima'", " ' Chauhan_ Vinita'", " ' Che_ Didier'", " ' Che_ J.'", " ' Che_ Xiao-Yan'", " ' Che_ Xiao-yan'", " ' Che_ Xiaoyan'", " ' Chea_ Nora'", " ' Chee_ Li Lian'", " ' Chen_ Ann'", " ' Chen_ B.'", " ' Chen_ Benjamin P.'", " ' Chen_ Bo'", " ' Chen_ Cathy W. S.'", " ' Chen_ Cheng'", " ' Chen_ Chi-Long'", " ' Chen_ Chi-Min'", " ' Chen_ Chia-Yen'", " ' Chen_ Chii-Chang'", " ' Chen_ Cong'", " ' Chen_ Ding-Shinn'", " ' Chen_ Fang'", " ' Chen_ Guang-Wu'", " ' Chen_ H. C.'", " ' Chen_ H.'", " ' Chen_ Hong'", " ' Chen_ Honglin'", " ' Chen_ Hongying'", " ' Chen_ Hour-Young'", " ' Chen_ Hui-Ling'", " ' Chen_ I-Yin'", " ' Chen_ J. D.'", " ' Chen_ J.'", " ' Chen_ JD'", " ' Chen_ Jeou-Yuan'", " ' Chen_ Ji-guo'", " ' Chen_ Jiadong'", " ' Chen_ Jian'", " ' Chen_ Jianfei'", " ' Chen_ Jianjun'", " ' Chen_ Jiapei'", " ' Chen_ Jiawei'", " ' Chen_ Jiaxuan'", " ' Chen_ Jin-Ding'", " ' Chen_ Jinding'", " ' Chen_ Jing'", " ' Chen_ Jun'", " ' Chen_ Jun-Wei'", " ' Chen_ Junwei'", " ' Chen_ Kai'", " ' Chen_ Kaixian'", " ' Chen_ Kuan-Hsuan'", " ' Chen_ Lang'", " ' Chen_ Li-li'", " ' Chen_ Liangbiao'", " ' Chen_ Limin'", " ' Chen_ Ling'", " ' Chen_ Lingfeng'", " ' Chen_ Lirong'", " ' Chen_ Mei-Ling'", " ' Chen_ Ming'", " ' Chen_ Pei-Jer'", " ' Chen_ Peng'", " ' Chen_ Po-Cheng'", " ' Chen_ Po-Kong'", " ' Chen_ Qiu-Xia'", " ' Chen_ Qiuying'", " ' Chen_ Sai-Juan'", " ' Chen_ Shey-Ying'", " ' Chen_ Shiang‐Chuan'", " ' Chen_ Shih-Chi'", " ' Chen_ Shiyou'", " ' Chen_ Shu-Hwa'", " ' Chen_ Shui-Tein'", " ' Chen_ Steve S.-L.'", " ' Chen_ Su-Chin'", " ' Chen_ Ting'", " ' Chen_ Tinggui'", " ' Chen_ Tsan-Chi'", " ' Chen_ Wei Feng'", " ' Chen_ Wei-Chen'", " ' Chen_ Wei-Feng'", " ' Chen_ Wei-Ju'", " ' Chen_ Wei-Yi'", " ' Chen_ Weijun'", " ' Chen_ Xia'", " ' Chen_ Xiaojuan'", " ' Chen_ Xiaowen'", " ' Chen_ Yafang'", " ' Chen_ Yan-Shan'", " ' Chen_ Yao'", " ' Chen_ Yau‐Hung'", " ' Chen_ Yee-Chun'", " ' Chen_ Yi-Ming Arthur'", " ' Chen_ Yibang'", " ' Chen_ Yongxiong'", " ' Chen_ Yu'", " ' Chen_ Yuehong'", " ' Chen_ Yuqiu'", " ' Chen_ Ze'", " ' Chen_ Zhiwei'", " ' Chen_ Zhongbin'", " ' Chen_ Zihong'", " ' Cheng_ Aaron'", " ' Cheng_ Chak-Sum Samuel'", " ' Cheng_ Christopher Hon‐Ki'", " ' Cheng_ Du'", " ' Cheng_ Feng'", " ' Cheng_ H.‐C.'", " ' Cheng_ I-Hsin'", " ' Cheng_ Min'", " ' Cheng_ Peter K. C.'", " ' Cheng_ Samuel MS'", " ' Cheng_ Shu-Chun'", " ' Cheng_ Shu‐Chun'", " ' Cheng_ V.C.C'", " ' Cheng_ VCC'", " ' Cheng_ Vincent C. C.'", " ' Cheng_ Vincent CC'", " ' Cheng_ Xiaodong'", " ' Cheng_ Yih-Shyun E.'", " ' Cheng_ Yun'", " ' Cheng_ Zhong-Shan'", " ' Cheon_ Doo-Sung'", " ' Cheon_ Shinhye'", " ' Cheong_ Hyang-Min'", " ' Chern_ Shur-Wern Wang'", " ' Chernesky_ Max'", " ' Cheuk_ Edmund'", " ' Cheung_ Annie N Y'", " ' Cheung_ Benny K. W.'", " ' Cheung_ Chris H. Y.'", " ' Cheung_ Chung Y.'", " ' Cheung_ Chung Yan'", " ' Cheung_ Jo L. K.'", " ' Cheung_ Jo L.K.'", " ' Cheung_ Jo LK'", " ' Cheung_ Kwok-Fan'", " ' Cheung_ MT'", " ' Cheung_ Timothy K W'", " ' Chevalier_ Véronique'", " ' Chi_ Hsiang-Yun'", " ' Chia_ Adeline'", " ' Chia_ Jer-Ming'", " ' Chiang_ Bor-Luen'", " ' Chiang_ Bor‐Luen'", " ' Chiang_ Chien-Cheng'", " ' Chiang_ Lien‐Chai'", " ' Chiang_ Wan-Ling'", " ' Chiang_ Yen-Chieh'", " ' Chiang_ Yu-Ping'", " ' Chien_ Chung-Liang'", " ' Chim_ Stephen S C'", " ' Chim_ Stephen SC'", " ' Chin_ King-Tung'", " ' Chiou_ Shiow-Her'", " ' Chittaganpitch_ Malinee'", " ' Chiu-Yat Woo_ Patrick'", " ' Chiu_ Kuo Ping'", " ' Chiu_ Lily-Lily'", " ' Chiu_ RWK'", " ' Chiu_ Rossa W K'", " ' Chiu_ Shu-Chun'", " ' Chmura_ Aleksei A.'", " ' Chng_ Hiok Hee'", " ' Chng_ Seo Yi'", " ' Cho_ Hyun-Soo'", " ' Cho_ K. O.'", " ' Cho_ Kyoung-Oh'", " ' Cho_ Michael W.'", " ' Cho_ Nam-Hyuk'", " ' Cho_ Wan-Seob'", " ' Cho_ Yong-Joon'", " ' Choe_ H.'", " ' Choe_ Hyeryun'", " ' Choe_ Misook'", " ' Choi_ BoYoul'", " ' Choi_ Changsun'", " ' Choi_ Garnet K. Y.'", " ' Choi_ J.W.'", " ' Choi_ Jae-Phil'", " ' Choi_ Jin-Kyu'", " ' Choi_ Kin‐Wing'", " ' Choi_ Myung-Sik'", " ' Choi_ Sarah'", " ' Choi_ Su-Mi'", " ' Choi_ Won Suk'", " ' Chong_ Pele Choi-Sing'", " ' Chong_ Sylvia'", " ' Chong_ Youhoon'", " ' Choo_ Qui-Lim'", " ' Chou_ C.‐H.'", " ' Chou_ Chi-Yuan'", " ' Chou_ Chien'", " ' Chou_ Chih-Fong'", " ' Chou_ Chih-Ming'", " ' Chou_ Chi‐Yuan'", " ' Chou_ Te-Hui W.'", " ' Chou_ Te-hui W.'", " ' Chow_ KYC'", " ' Chow_ Larry Ming-Cheung'", " ' Chow_ Tat‐Chong'", " ' Chow_ Vincent T. K.'", " ' Chow_ Vincent T.'", " ' Chow_ Vincent T.K.'", " ' Chow_ Vincent\\xa0T.\\xa0K.'", " ' Chow_ Wang-Ngai'", " ' Choy_ H. E.'", " ' Choy_ Wai-Yan'", " ' Chrétien_ Michel'", " ' Chu_ CM'", " ' Chu_ Chung-ming'", " ' Chu_ D. K. W.'", " ' Chu_ Da-Chen'", " ' Chu_ Daniel K W'", " ' Chu_ Daniel KW'", " ' Chu_ Hin'", " ' Chu_ Ida M. T.'", " ' Chu_ Ida Miu-Ting'", " ' Chu_ Ida'", " ' Chu_ S.'", " ' Chu_ Vicky'", " ' Chu_ Victor C.'", " ' Chu_ Yiwei'", " ' Chua_ Ming Ming'", " ' Chua_ Ming-Ming'", " ' Chua_ MingMing'", " ' Chuan_ Qin'", " ' Chuang_ Chien-Ying'", " ' Chuang_ Chin-Kai'", " ' Chuang_ Shang-Ju'", " ' Chuang_ Ya‐Hui'", " ' Chubet_ Richard'", " ' Chueh_ Ling-Ling'", " ' Chueh_ Ti-Jen'", " ' Chun_ Jongsik'", " ' Chung_ Yao-Chi'", " ' Chung_ Yoon‐Seok'", " ' Churchill_ Michael J.'", " ' Chénard_ Gilles'", " ' Cichutek_ Klaus'", " ' Cihlar_ Tomas'", " ' Cinatl_ J.'", " ' Cinatl_ Jindrich'", " ' Cirone_ Francesco'", " ' Ciurli_ Cristina'", " ' Claire_ Marisa St'", " ' Clarke_ Michael O.'", " ' Clarke_ S.K.R.'", " ' Claudine_ Stephanie'", " ' Clementi_ M.'", " ' Clementi_ Massimo'", " ' Clinton_ R.ebecca'", " ' Coates_ Stephen R.'", " ' Coccia_ Jennifer A.'", " ' Cockram_ C. S.'", " ' Cockrell_ Adam S.'", " ' Coderre_ James'", " ' Cohen_ Jeffrey I.'", " ' Cohen_ Nicole J.'", " ' Colao_ Valeriana'", " ' Cole_ David K'", " ' Cole_ David K.'", " ' Coleman_ Christopher M.'", " ' Collet_ Axelle'", " ' Collier_ Martha'", " ' Collins_ Peter L'", " ' Collins_ Peter L.'", " ' Collisson_ Ellen W.'", " ' Colman_ Alan'", " ' Colombo_ A.'", " ' Comer_ James A.'", " ' Compton_ Susan R.'", " ' Compton_ Susan'", " ' Comunale_ Mary Ann'", " ' Conaldi_ Pier Giulio'", " ' Cong_ Feng'", " ' Cong_ Le'", " ' Cong_ Yuwen'", " ' Cong_ Zhe'", " ' Contreras_ A.'", " ' Corbet_ Sandrine'", " ' Corbett_ Kizzmekia S.'", " ' Cordonnier_ Nathalie'", " ' Cordón_ I.'", " ' Corey_ Lawrence'", " ' Corman_ Victor M'", " ' Corman_ Victor M.'", " ' Corman_ Victor Max'", " ' Correa_ Isabel'", " ' Corrente_ Marialaura'", " ' Corse_ Emily'", " ' Corsín_ Marta'", " ' Corti_ Davide'", " ' Corver_ Jeroen'", " ' Cosset_ François-Loïc'", " ' Cotten_ Matthew'", " ' Cottrell_ Christopher A.'", " ' Couch_ Robert B'", " ' Couch_ Robert B.'", " ' Coughlin_ Melissa'", " ' Coulombier_ D.'", " ' Courtillon_ C.'", " ' Courtillon_ Céline'", " ' Coussement_ W.'", " ' Coutard_ Bruno'", " ' Cov_ Graham J.'", " ' Cowley_ Jeff A.'", " ' Cowley_ Timothy J.'", " ' Cowling_ Benjamin J.'", " ' Cox_ Freek'", " ' Cox_ Manon'", " ' Crameri_ Gary'", " ' Cranfield_ M.'", " ' Crespo_ Sophie'", " ' Criddle_ Mary M.'", " ' Cros_ Jerome'", " ' Cross_ S. S.'", " ' Croville_ Guillaume'", " ' Crowe_ James E.'", " ' Cruz_ Jazmina L. G.'", " ' Cruz_ Jazmina L.'", " ' Crystal_ Ronald G.'", " ' Cuconati_ Andrea'", " ' Cui_ Buyun'", " ' Cui_ Lijin'", " ' Cui_ Shangjin'", " ' Cui_ Sheng'", " ' Cui_ Xiaodai'", " ' Cui_ Yan'", " ' Cui_ Zhigang'", " ' Cummings_ Derek A. T.'", " ' Cummings_ Derek A.T.'", " ' Cunningham_ Anthony L.'", " ' Curnes_ Nicole R.'", " ' Curns_ Aaron T.'", " ' Currier_ Paul F.'", " ' Curti_ Elena'", " ' Curtis_ Kristopher M.'", " ' Cutler_ David J.'", " ' Czirják_ Gábor Á.'", " ' DEANE_ EM'", " ' DELMAS_ B.'", " ' DONADO-CAMPOS_ J.'", " ' DOWDLE_ W. R.'", " ' Daabach_ Anniken'", " ' Dai_ Jingquan'", " ' Dai_ Shujia'", " ' Dailey_ Morris O.'", " ' Dalebout_ Tim J.'", " ' Dales_ Samuel'", " ' Dalle_ Karen'", " ' Dally_ C.'", " ' Damanhouri_ Ghazi A.'", " ' Danchin_ A.'", " ' Danchin_ Antoine'", " ' Dandekar_ Ajai A.'", " ' Dang_ Nam H.'", " ' Daniel_ Susan'", " ' Danielson_ N.'", " ' Das Sarma_ Jayasri'", " ' Daszak_ Peter'", " ' Dauphin_ Gwenaelle'", " ' Davey_ Richard T'", " ' Davies_ H. A.'", " ' Davies_ Marc'", " ' Davis_ Nancy'", " ' Davis_ P. J.'", " ' Davy_ Christina M.'", " ' Dawood_ KE'", " ' Dawson_ Eric S.'", " ' Dawson_ Philip'", " ' Day_ M.J.'", " ' Daëron_ Marc'", " ' De Boisséson_ C.'", " ' De Clercq_ Erik'", " ' De Groot_ P. G.'", " ' De Haan_ Cornelis A. M.'", " ' De Sousa_ Rita'", " ' DeDiego_ Marta L.'", " ' DeMartini_ James C.'", " ' DeRisi_ Joseph L.'", " ' Dea_ S.'", " ' Dea_ Serge'", " ' Dean_ Amy B.'", " ' Deane_ Elizabeth M.'", " ' Dearth_ Stephanie'", " ' Debarnot_ Claire'", " ' Debart_ Françoise'", " ' Debbink_ K.'", " ' Debbink_ Kari'", " ' Debnath_ Asim K'", " ' Debnath_ Asim K.'", " ' Debouck_ P.'", " ' Decaro_ N.'", " ' Decaro_ Nicola'", " ' Decimo_ D.'", " ' Decroly_ Etienne'", " ' Dee_ Michael'", " ' Deffernez_ Christelle'", " ' Deijs_ M.'", " ' Deijs_ Martin'", " ' Dekkers_ Dick H. W.'", " ' Demeter_ Zoltan'", " ' Demetriou_ Victoria L.'", " ' Deming_ Damon'", " ' Deming_ Meagan'", " ' Demmers_ Jeroen A. A.'", " ' Deng_ Fei'", " ' Deng_ Hongkui'", " ' Deng_ Hongyu'", " ' Deng_ Jiejie'", " ' Deng_ Peng'", " ' Deng_ Wei'", " ' Deng_ Wen'", " ' Deng_ Xufang'", " ' Deng_ Yao'", " ' Denis_ François'", " ' Denison_ Mark R.'", " ' Dennin_ Reinhard H.'", " ' Dennis Lo_ YM'", " ' Denniston_ Doug A.'", " ' Deregt_ Dirk'", " ' Dermody_ Terence S.'", " ' Desforges_ Marc'", " ' Desjardins_ Jessica'", " ' Deubel_ Vincent'", " ' Devries_ James R.'", " ' DiCaro_ Antonino'", " ' DiMaio_ Frank'", " ' DiSano_ Krista D.'", " ' Di_ Biao'", " ' Diab_ Ayman'", " ' Diamond_ Michael S.'", " ' Diamond_ Scott L.'", " ' Dickerson_ Faith B.'", " ' Dickhout_ Annemiek'", " ' Dietlin_ Therese A.'", " ' Dietrich_ M.'", " ' Dietrich_ Ursula'", " ' Dietzschold_ Bernhard'", " ' Dijkman_ Ronald'", " ' Dilmaghani_ Bijan'", " ' Dimitrov_ Dimiter S.'", " ' Dina_ Julia'", " ' Ding_ Jianping'", " ' Ding_ Jie'", " ' Ding_ Jin'", " ' Ding_ Mingxiao'", " ' Ding_ Y.'", " ' Ding_ Yanqing'", " ' Ding_ Yi'", " ' Dingledine_ Raymond'", " ' Dinnon_ K. H.'", " ' Dinnon_ Kenneth H.'", " ' Disterer_ Petra'", " ' Ditt_ Vanessa'", " ' Dittmer_ U.'", " ' Dittmer_ Ulf'", " ' Dobbe_ Jessika C.'", " ' Doerr_ H. W.'", " ' Doerr_ HW'", " ' Doerr_ Hans Wilhelm'", " ' Doki_ Tomoyoshi'", " ' Doller_ Elizabeth W.'", " ' Dolnik_ Olga'", " ' Dombrowski_ Todd F.'", " ' Donaldson_ Eric F.'", " ' Donaldson_ Eric'", " ' Donaldson_ Michael E.'", " ' Donart_ Nathan'", " ' Dong_ Beihua'", " ' Dong_ Bo'", " ' Dong_ Fangting'", " ' Dong_ H.'", " ' Dong_ Jing-Hua'", " ' Dong_ Ling-juan'", " ' Dong_ Mei'", " ' Dong_ Qingming'", " ' Dong_ Wenjuan'", " ' Dong_ Zhao Xiao'", " ' Donnelly_ Christl A'", " ' Donoso Mantke_ O.'", " ' Dorfman_ Tatyana'", " ' Dormitzer_ Philip R.'", " ' Douglas_ Madeline'", " ' Douglass_ Claire'", " ' Dove_ Brian K.'", " ' Dove_ Brian'", " ' Dowdell_ Konechi C.'", " ' Drexler_ Jan Felix'", " ' Drexler_ Jan-Felix'", " ' Dreyfus_ François'", " ' Drijfhout_ Jan W.'", " ' Drosten_ C.'", " ' Drosten_ Christian'", " ' Druce_ Julian'", " ' Drummond_ Alexei J.'", " ' Dryga_ Sergey A.'", " ' Du_ Chunjuan'", " ' Du_ Enqi'", " ' Du_ Lanying'", " ' Du_ Lin'", " ' Du_ Qingyun'", " ' Du_ Yanhua'", " ' Du_ Yuhong'", " ' Du_ Zongmin'", " ' Duan_ Deliang'", " ' Duan_ Shumin'", " ' Duan_ Shuming'", " ' Dubin_ Grzegorz'", " ' Dubois‐Dalcq_ Monique'", " ' Dudek_ Bartosz'", " ' Duke_ Norma'", " ' Duquerroy_ Stephane'", " ' Durousseau_ Cécile'", " ' Dutartre_ Hélène'", " ' Dutry_ Isabelle'", " ' Duverger_ Blandine'", " ' Dveksler_ Gabriela S.'", " ' Dwyer_ Dominic E'", " ' Dwyer_ Dominic E.'", " ' Dyall_ Julie'", " ' Dyason_ Jeffrey C.'", " ' Dyer_ Matthew D.'", " ' Dyrting_ Kitman C.'", " ' Dziduszko_ Agnieszka'", " ' Dzimianski_ John V.'", " ' ENJUANES_ LUIS'", " ' Earnest_ James T.'", " ' East_ Marion L.'", " ' Eaton_ Bryan T.'", " ' Ebert_ Nadine'", " ' Eckerle_ Isabella'", " ' Eckert_ Debra M.'", " ' Edeen_ Karen'", " ' Eden_ John-Sebastian'", " ' Edington_ N.'", " ' Edwards_ Kathryn M.'", " ' Edwards_ Suzanne'", " ' Egberink_ H. F.'", " ' Egberink_ H.'", " ' Egberink_ Herman'", " ' Egerbacher_ Monika'", " ' Eggler_ Aimee'", " ' Egglestone_ S. I.'", " ' Egholm_ Michael'", " ' Egloff_ Marie-Pierre'", " ' Egloff_ Marie‐Pierre'", " ' Eichler_ Jutta'", " ' Eickmann_ Markus'", " ' Eisemann_ Jutta'", " ' Eis‐Hübinger_ Anna M.'", " ' Eis‐Hübinger_ Anna‐Maria'", " ' Eitner_ Krystian'", " ' El Berbri_ Ikhlass'", " ' El Idrissi_ Nawal Bahia'", " ' El Masry_ Ihab'", " ' El Sayed_ Ahmed'", " ' El Shesheny_ Rabeh'", " ' El Tahir_ Yasmin E'", " ' El-Kafrawy_ Sherif A.'", " ' El-Saed_ Aiman'", " ' El-Sayed_ Ahmed M.'", " ' El-Sheemy_ Mohammed A'", " ' El-Shesheny_ Rabeh'", " ' El-Taweel_ Ahmed'", " ' Elassal_ Emad M.'", " ' Eldin_ Hosam Shams'", " ' Elia_ G.'", " ' Elia_ Gabriella'", " ' Elkins_ William R'", " ' Elliott_ Ruth'", " ' Ellis_ T. M.'", " ' Elmoslemany_ Ahmed'", " ' Elsayed_ Elsaeid A.'", " ' Elsayed_ Elsaeid'", " ' Elsokary_ Basma'", " ' Eltahir_ Yassir M.'", " ' Eltahir_ Yassir'", " ' Eltigani_ M.'", " ' Elzayat_ Mahmoud Tarek'", " ' El‐Kafrawy_ Sherif A.'", " ' Emmerich_ Petra'", " ' Emmett_ Stevan R.'", " ' Endo_ Rika'", " ' Englund_ Janet A'", " ' Englund_ Janet A.'", " ' Enjuanes_ L.'", " ' Enjuanes_ Luis'", " ' Enouf_ Vincent'", " ' Enss_ Marie-Luise'", " ' Epstein_ Jonathan H.'", " ' Erdman_ Dean D.'", " ' Erdman_ Dean'", " ' Escalante_ Carlos R'", " ' Esch_ Bettina'", " ' Escors_ D.'", " ' Escors_ David'", " ' Escriou_ N.'", " ' Escriou_ Nicolas'", " ' Eshar_ David'", " ' Esmaeel_ Ahmad'", " ' Esrey_ S. A.'", " ' Esshaki_ Diana J.'", " ' Estela_ Abel'", " ' Eterradossi_ N.'", " ' Eterradossi_ Nicolas'", " ' Ettahar_ Nicolas'", " ' Eugen‐Olsen_ J.'", " ' Evans_ Gregory D.'", " ' Evans_ Gregory'", " ' Evans_ Sharon'", " ' Excler_ Jean-Louis'", " ' Faaberg_ Kay S.'", " ' Facury Filho_ Elias Jorge'", " ' Fagerlund_ Riku'", " ' Faggion_ Heloisa Z.'", " ' Fahle_ Gary'", " ' Fahn_ Stanley'", " ' Falcón_ Ana'", " ' Falkner_ Falko G.'", " ' Falzarano_ Darryl'", " ' Fan_ Chunmei'", " ' Fan_ Hang'", " ' Fan_ Hui'", " ' Fan_ Jilao'", " ' Fan_ K.W'", " ' Fan_ Rachel Y Y'", " ' Fan_ Rachel Y. Y.'", " ' Fan_ Ruiwen'", " ' Fan_ Wensheng'", " ' Fan_ X. H.'", " ' Fan_ Yi-Hsin'", " ' Fang_ Chi-Tai'", " ' Fang_ Jianqiu'", " ' Fang_ Jim-Min'", " ' Fang_ Ling'", " ' Fang_ Qing'", " ' Fang_ Shou Guo'", " ' Fang_ Shouguo'", " ' Fang_ Tong-Yu'", " ' Fang_ Vicky J.'", " ' Fang_ Xiaonan'", " ' Fang_ Xue-En'", " ' Fang_ Y T'", " ' Fang_ Ying'", " ' Fang_ Yi‐Hsuan'", " ' Fann_ Cathy S. J.'", " ' Farag_ E. A. B. A.'", " ' Farag_ Elmoubasher A. B. A.'", " ' Farag_ Elmoubasher'", " ' Farag_ Noha H.'", " ' Farah_ Mohamed Elamin'", " ' Farah_ Mohamed'", " ' Farcas_ Gabriella A.'", " ' Farhat_ Jonathan J.'", " ' Farmar_ James'", " ' Farraj_ Suha A.'", " ' Faruku_ Bande'", " ' Farzan_ M.'", " ' Farzan_ Michael'", " ' Fassi-Fihri_ Ouaffa'", " ' Faure_ Peter'", " ' Faye_ B.'", " ' Faye_ Bernard'", " ' Fehr_ Anthony R.'", " ' Feikin_ Daniel R.'", " ' Feitsma_ Louris J.'", " ' Fekadu_ Getnet'", " ' Feld_ Jordan J.'", " ' Feldmann_ Friederike'", " ' Feldmann_ Heinz'", " ' Felton_ Alma'", " ' Feng_ Joy Y.'", " ' Feng_ L.'", " ' Feng_ Li'", " ' Feng_ Min'", " ' Feng_ Qiang'", " ' Feng_ Yang'", " ' Feng_ Ye'", " ' Feng_ Youjun'", " ' Feng_ Yue-Ju'", " ' Feng_ Yun'", " ' Fenner_ Beau J.'", " ' Fensterl_ Volker'", " ' Ferguson_ Lyndsey J.'", " ' Ferguson_ Neil M'", " ' Ferguson_ Neil M.'", " ' Ferioli_ Elena'", " ' Fernandez-Delgado_ Raul'", " ' Fernandez-Gutierrez_ Marcela'", " ' Fernandez-Rodriguez_ Blanca'", " ' Fernando_ H.S.'", " ' Fernández-Fontelo_ A.'", " ' Ferrari_ H.F.'", " ' Ferraro_ Debra'", " ' Ferris_ Martin T.'", " ' Ferris_ Martin'", " ' Ferron_ François'", " ' Feteih_ Maun'", " ' Fett_ Craig'", " ' Fews_ D.'", " ' Fiafemetsi_ Samuel'", " ' Fickel_ Jörns'", " ' Field_ H. E.'", " ' Fielding_ Burtram C'", " ' Fielding_ Burtram C.'", " ' Fiermonte_ Giuseppe'", " ' Filipowicz_ Witold'", " ' Finberg_ Robert W'", " ' Finkelstein_ Stan N'", " ' Finotto_ Marco'", " ' Finzi_ D.'", " ' Firth_ Cadhla'", " ' Fischer_ Elizabeth R.'", " ' Fischer_ Robert'", " ' Fischer_ Steven'", " ' Fisher_ Anne'", " ' Fisman_ David'", " ' Flagg_ Elaine W.'", " ' Flaherty_ Heather A.'", " ' Flemban_ Hesham'", " ' Fleming_ Erica L.'", " ' Fleming_ Erica'", " ' Fleming_ John O.'", " ' Fleming_ John'", " ' Flieder_ Douglas'", " ' Flingai_ Seleeke'", " ' Florek_ Dominik'", " ' Flowers_ Dianne'", " ' Foglierini_ Mathilde'", " ' Fomukong_ Ndingsa'", " ' Fontanet_ Arnaud'", " ' Forlenza_ Maria'", " ' Formica_ Maria A.'", " ' Forrest_ J. Craig'", " ' Fotouhi-Ardakani_ Nasser'", " ' Fouchier_ Ron A M'", " ' Fouchier_ Ron A. M.'", " ' Fouchier_ Ron AM'", " ' Frace_ Michael'", " ' Francis_ M.J'", " ' Fraser_ Christophe'", " ' Freire_ Ernesto'", " ' Freitas_ Moisés Dias'", " ' Frenz_ Brandon'", " ' Frey_ Barbara'", " ' Freymuth_ François'", " ' Friedrich_ Victor L.'", " ' Frieman_ Matthew B.'", " ' Frieman_ Matthew'", " ' Fritz_ Elizabeth A.'", " ' Fros_ Jelke J.'", " ' Fry_ Alicia M.'", " ' Fu_ Dexia'", " ' Fu_ Fang'", " ' Fu_ Haian'", " ' Fu_ Jia-dong'", " ' Fu_ Jianlin'", " ' Fu_ Kaisong'", " ' Fu_ Li'", " ' Fu_ Nai Yang'", " ' Fu_ Sheng'", " ' Fujii_ Hideki'", " ' Fujii_ Hikaru'", " ' Fujii_ Nobuhiro'", " ' Fujii_ Nobutaka'", " ' Fujii_ Nobuyuki'", " ' Fujimoto_ Toyoshi'", " ' Fujiwara_ Kosaku'", " ' Fukuda_ T.'", " ' Fukuhara_ N.'", " ' Fukushi_ Masaya'", " ' Fukushi_ Shuetsu'", " ' Fuller_ Frederick J'", " ' Fumihiro_ Taguchi'", " ' Fung_ Ami M. Y.'", " ' Fung_ KP'", " ' Fung_ Kwok-Pui'", " ' Fung_ To Sing'", " ' Funkhouser_ William'", " ' Fux_ Robert'", " ' GLASS_ WILLIAM G.'", " ' GRAHAM_ FRANK'", " ' Gabelli_ Sandra B.'", " ' Gabor_ L'", " ' Galiano_ Monica'", " ' Gall_ Astrid'", " ' Gallagher_ Thomas M.'", " ' Gallagher_ Thomas'", " ' Gallagher_ Tom'", " ' Gallaher_ William R.'", " ' Gallego_ José'", " ' Galán_ Carmen'", " ' Gambotto_ Andrea'", " ' Ganem_ Don'", " ' Ganesh_ Lakshmanan'", " ' Gao_ Bo'", " ' Gao_ F.'", " ' Gao_ Feng'", " ' Gao_ George F'", " ' Gao_ George F.'", " ' Gao_ George Fu'", " ' Gao_ George'", " ' Gao_ Guangping'", " ' Gao_ Guozhen'", " ' Gao_ Haifeng'", " ' Gao_ Hong'", " ' Gao_ Kai'", " ' Gao_ Mengying'", " ' Gao_ Shuang'", " ' Gao_ Ting'", " ' Gao_ Wei'", " ' Gao_ Xiao-Ming'", " ' Gao_ Xiaopan'", " ' Gao_ Xiao‐Ming'", " ' Gao_ Yan'", " ' Gao_ Yang'", " ' Gao_ Yu-Fan'", " ' Gao_ Yu-Tao'", " ' Gao_ Yu-Wei'", " ' Garcia_ Francesca'", " ' García-Sastre_ Adolfo'", " ' García_ Beatriz'", " ' García_ Juan A.'", " ' Gardner_ Douglas'", " ' Gardner_ Emma'", " ' Gardner_ Phillip S.'", " ' Garron_ Tania'", " ' Garry_ Robert F.'", " ' Garzon_ S.'", " ' Gaschen_ Véronique'", " ' Gaskell_ C.J.'", " ' Gaskell_ R.M.'", " ' Gates_ J. Edward'", " ' Gatuz_ Joseph L.'", " ' Gaughan_ Christina'", " ' Ge_ Feng'", " ' Ge_ J.W.'", " ' Ge_ Xing-Yi'", " ' Ge_ Xingyi'", " ' Gea-Banacloche_ Juan Carlos'", " ' Gebauer_ Fatima'", " ' Gebauer_ Fátima'", " ' Gee Lim_ Seng'", " ' Gehring_ Adam J.'", " ' Geier_ Martina'", " ' Geiger_ Helmut'", " ' Geisbert_ Thomas W.'", " ' Gelderblom_ Hans R'", " ' Gelderblom_ Hans R.'", " ' Gelfi_ Jacqueline'", " ' Geng_ Heyuan'", " ' Geng_ Jian'", " ' Geng_ Qi-Bin'", " ' Geng_ Qibin'", " ' Geng_ Xingyi'", " ' Gentile_ Arturo'", " ' Gentile_ Mattia'", " ' George_ Kirsten St.'", " ' Georgiou_ George'", " ' Geraghty_ Robert J.'", " ' Geralt_ Michael'", " ' Gerber_ J. D.'", " ' Gerber_ Markus'", " ' Gerber_ Susan I.'", " ' Gerber_ Susan'", " ' Gerner_ Wilhelm'", " ' Gerritsen_ W. R.'", " ' Gerritsen_ Winald R.'", " ' Gershoni_ Jonathan M.'", " ' Gervelmeyer_ A.'", " ' Gettie_ Agegnehu'", " ' Getu_ Sarah'", " ' Ghai_ Siriporn'", " ' Ghandour_ Jihad'", " ' Ghedin_ Elodie'", " ' Ghezzi_ Silvia'", " ' Ghobashy_ Hazem'", " ' Ghosh_ Arun K.'", " ' Giangreco_ Bernadette'", " ' Gibbs_ M. J.'", " ' Gibbs_ Pam'", " ' Gibson-Corley_ Katherine N.'", " ' Giedroc_ David P.'", " ' Gierer_ Stefanie'", " ' Giladi_ Michael'", " ' Gilardi_ K.'", " ' Gilbert_ Martin'", " ' Gilch_ Sabine'", " ' Gill_ Andrew'", " ' Gillim-Ross_ Laura'", " ' Gioia_ Cristiana'", " ' Gismondo_ Maria Rita'", " ' Glaser_ Stephanie'", " ' Glass_ Pamela J.'", " ' Glende_ Jörg'", " ' Glowacka_ Ilona'", " ' Gloza-Rausch_ Florian'", " ' Gluais_ Laure'", " ' Gluecks_ Ilona'", " ' Gnirss_ Kerstin'", " ' Gnirß_ Kerstin'", " ' Godeke_ G.-J.'", " ' Godeke_ Gert-Jan'", " ' Godfraind_ Catherine'", " ' Goebel_ Scott J.'", " ' Goeman_ Jelle J.'", " ' Goenczi_ Enikoe'", " ' Goettsche_ Matthias'", " ' Goffard_ Anne'", " ' Goh_ Daniel Y.'", " ' Goh_ Phuay-Yee'", " ' Goicochea_ Lindsay'", " ' Gold_ Hermann'", " ' Golda_ Anna'", " ' Goldsmith_ Cynthia S.'", " ' Goldstein_ Stephen A.'", " ' Goldstein_ T.'", " ' Goletz_ Jeffrey T.'", " ' Golik_ Przemyslaw'", " ' Gomaa_ Mokhtar R.'", " ' Gomaa_ Mokhtar'", " ' Gomez_ Jorge'", " ' Gong_ Wang'", " ' Gong_ Xiandi'", " ' Gonzales_ Donna M.'", " ' Gonzales‐Viera_ O.'", " ' Gonzalez_ Jose M.'", " ' Gonzalo_ Verónica'", " ' González_ Silvia'", " ' Goodwin_ Octavia Y.'", " ' Goossens_ Herman'", " ' Gopal_ Robin'", " ' Gorbalenya_ Alexander E'", " ' Gorbalenya_ Alexander E.'", " ' Gorbalenya_ Alexander\\xa0E.'", " ' Gordon_ Siamon'", " ' Gortázar-Schmidt_ Christian'", " ' Gosalia_ Dhaval N.'", " ' Goto_ Naoaki'", " ' Goto_ Y.'", " ' Gotthardt_ Daniel N'", " ' Gouarin_ Stéphanie'", " ' Goudsmit_ Jaap'", " ' Gouilh_ A. M.'", " ' Goyal_ Sagar M'", " ' Goyal_ Sagar M.'", " ' Grabarkiewicz_ Tomasz'", " ' Graf_ Petra'", " ' Graham_ Barney S.'", " ' Graham_ Rachel L.'", " ' Gralinski_ Lisa E.'", " ' Gralinski_ Lisa'", " ' Gramberg_ Thomas'", " ' Granato_ Celso'", " ' Grant_ C.K.'", " ' Gravemann_ Ute'", " ' Gray_ G. C.'", " ' Graziano_ Robert F.'", " ' Greco_ G'", " ' Greco_ Grazia'", " ' Greco_ Teresa'", " ' Green_ P.'", " ' Greenough_ Thomas C.'", " ' Greer_ Catherine E.'", " ' Grego_ Sonia'", " ' Gregori_ F.'", " ' Grellet_ Aurélien'", " ' Greninger_ Alexander L'", " ' Gretebeck_ Lisa'", " ' Griffin_ Marie R.'", " ' Griffith_ Mark'", " ' Grinspan_ Judith'", " ' Grinwis_ Guy C. M.'", " ' Grisel_ Sacha'", " ' Groen_ J.'", " ' Groen_ Kevin'", " ' Groot Koerkamp_ Marian J. A.'", " ' Groot_ Linda de'", " ' Grosbois_ Vladimir'", " ' Groshong_ Steve D.'", " ' Grotenbreg_ Gijsbert M.'", " ' Grubb_ A.'", " ' Grudeski_ Elsie'", " ' Gruffydd‐Jones_ T.J.'", " ' Grunewald_ Matthew'", " ' Grywna_ Klaus'", " ' Gröne_ A.'", " ' Gu_ Chang-Qing'", " ' Gu_ Chunfang'", " ' Gu_ Jun'", " ' Gu_ Shoulin'", " ' Gu_ Songzhi'", " ' Gu_ X'", " ' Guan_ Bin'", " ' Guan_ Bo-Jhih'", " ' Guan_ Wuxiang'", " ' Guan_ Xiao-Qing'", " ' Guan_ Y'", " ' Guan_ Y.'", " ' Guan_ Yi'", " ' Guan_ Yuntao'", " ' Guarda_ F.'", " ' Guarino_ Linda'", " ' Guarner_ Jeannette'", " ' Gubareva_ Larisa'", " ' Guberina_ Hana'", " ' Guerra_ Marta A.'", " ' Guezala_ M. Claudia'", " ' Guggemos_ Wolfgang'", " ' Gui_ Chunshan'", " ' Guillemot_ Jean-Claude'", " ' Guitian_ Javier'", " ' Gulyaeva_ Anastasia'", " ' Gunalan_ Vithiagaran'", " ' Gunn_ AA'", " ' Guo_ Bao-Zhong'", " ' Guo_ Deyin'", " ' Guo_ Fang'", " ' Guo_ Feng'", " ' Guo_ Hai-yan'", " ' Guo_ Hongbo'", " ' Guo_ Hua'", " ' Guo_ Huancheng'", " ' Guo_ Ju-Tao'", " ' Guo_ Lan'", " ' Guo_ Li'", " ' Guo_ Li-Min'", " ' Guo_ Lihai'", " ' Guo_ Peng-Ju'", " ' Guo_ Rongtong'", " ' Guo_ Shanshan'", " ' Guo_ Ting-Kai'", " ' Guo_ Wen-Ping'", " ' Guo_ Yan'", " ' Guo_ Yin'", " ' Guo_ Zhaobiao'", " ' Guo_ Zhi-Hong'", " ' Guo_ Zong-Ming'", " ' Gust_ I. D.'", " ' Guthrie_ Katherine A.'", " ' Gutierrez_ Carlos'", " ' Gutiérrez-Álvarez_ Javier'", " ' Guttman_ David S.'", " ' Guy_ J. S.'", " ' Guy_ James S'", " ' Guy_ James S.'", " ' Guérin_ Jean-Luc'", " ' Göpner_ Gertraude'", " ' Günther_ Stephan'", " ' HARRIS_ S.'", " ' HARTLEY_ JANET W.'", " ' HEIJNEN_ LEO'", " ' HE_ You Yu'", " ' HILL_ S. E.'", " ' HOOYBERGHS_ J.'", " ' HUANG_ Bing'", " ' HU_ SEN'", " ' Ha_ Gunwoo'", " ' Ha_ L.D.'", " ' Ha_ Na-Young'", " ' Haagmans_ B. L.'", " ' Haagmans_ Bart L'", " ' Haagmans_ Bart L.'", " ' Haagmans_ Bart'", " ' Haan_ Cornelis A. M. de'", " ' Haas_ Charles N.'", " ' Haas_ Walter'", " ' Habib_ Abdulrazaq G.'", " ' Habjan_ Matthias'", " ' Hackbart_ Matthew'", " ' Hadchouel_ M.'", " ' Haddad_ Christine S.'", " ' Haddadin_ Aktham'", " ' Hadya_ Nagesh'", " ' Haessig_ Michael'", " ' Hagemeijer_ Marne C.'", " ' Hahn_ Fletcher'", " ' Hahn‐Ast_ Corinna'", " ' Hai_ Rong'", " ' Haijema_ B. J.'", " ' Haijema_ Bert Jan'", " ' Haijema_ Bert-Jan'", " ' Hain_ Torsten'", " ' HajOmar_ Waleed Husein'", " ' HajOmar_ Waleed'", " ' Hajer_ I.'", " ' Hajjar_ Sami Al'", " ' Hajjar_ Sami'", " ' Hakawi_ Ahmed'", " ' Hakeem_ Rafat'", " ' Hakhverdyan_ Mikhayil'", " ' Halabi_ Carmen'", " ' Hall_ Aron J.'", " ' Hall_ Caroline B.'", " ' Hall_ David R.'", " ' Hall_ Jonathan'", " ' Hall_ Susan L.'", " ' Hall_ William J.'", " ' Haller_ Otto'", " ' Halpin_ Rebecca'", " ' Hamelin_ Josée'", " ' Hamilton_ Sara B'", " ' Han_ Dong P.'", " ' Han_ Huixia'", " ' Han_ J. J.'", " ' Han_ Jang H.'", " ' Han_ Min'", " ' Han_ Seong Kyu'", " ' Han_ Song'", " ' Han_ Yang'", " ' Han_ Yanping'", " ' Han_ Young Woo'", " ' Han_ Z. X.'", " ' Han_ Zheng-gang'", " ' Han_ Zhenggang'", " ' Han_ Zhongchao'", " ' Han_ Zongxi'", " ' Handharyani_ Ekowati'", " ' Handke_ Wiebke'", " ' Hanschmann_ Kay-Martin'", " ' Hansen_ Guido'", " ' Hantak_ Michael P.'", " ' Hao_ Pei'", " ' Hao_ Wei'", " ' Hao_ Yunwei'", " ' Haofei_ Liu'", " ' Harada_ Takashi'", " ' Harashima_ Ayako'", " ' Harcourt_ Jennifer L.'", " ' Hardt_ Martin'", " ' Harkema_ Jack'", " ' Harley_ R.'", " ' Harmsen_ D.'", " ' Harrap_ K. A.'", " ' Harrison_ Alyne K.'", " ' Harrison_ Gavan A.'", " ' Harrison_ Sally M.'", " ' Harrison_ Stephen C.'", " ' Harrod_ Kevin S.'", " ' Hart_ Brit J.'", " ' Hart_ Laura'", " ' Hartmann_ Wulf'", " ' Hartwig_ Nico G.'", " ' Hasan_ Md. Anayet'", " ' Hasebe_ Futoshi'", " ' Hasegawa_ Atsuhiko'", " ' Hasegawa_ Hideki'", " ' Haselhorst_ Thomas'", " ' Hashem_ Anwar M.'", " ' Hashem_ Farouk M.'", " ' Hashem_ Farouq M.'", " ' Hashem_ Farouq'", " ' Hashimoto_ Shu-ichi'", " ' Hasoksuz_ M.'", " ' Hasoksuz_ Mustafa'", " ' Hassan_ Ahmed M.'", " ' Hassan_ Naglaa'", " ' Hatakeyama_ Seisuke'", " ' Hatano_ Ryo'", " ' Hattermann_ Kim'", " ' Hattori_ Toshio'", " ' Hauns_ Kevin'", " ' Hayami_ Masanori'", " ' Hayashi_ Takaya'", " ' Hayashi_ Y.'", " ' Hayden_ Frederick G.'", " ' Hayes_ J.'", " ' Hayes_ Norman'", " ' Haynes_ Lia M.'", " ' Haynes_ Lia'", " ' He_ Bo'", " ' He_ Fuchu'", " ' He_ Jian-Feng'", " ' He_ Lei'", " ' He_ Li'", " ' He_ Li-Juan'", " ' He_ Liangmei'", " ' He_ Ming-Liang'", " ' He_ Ming‐Liang'", " ' He_ Qigai'", " ' He_ Teng'", " ' He_ Tian'", " ' He_ Tong-Tong'", " ' He_ Wei'", " ' He_ Wei-Zhong'", " ' He_ Wenqi'", " ' He_ Xiangyang'", " ' He_ Xiao-Yan'", " ' He_ Xichang'", " ' He_ Xijun'", " ' He_ Yaqing'", " ' He_ Yuxian'", " ' Heald-Sargent_ Taylor'", " ' Hearle_ D.C'", " ' Heberling_ R. L.'", " ' Heck_ Albert J. R.'", " ' Heck_ Albert J.'", " ' Heck_ Susanne'", " ' Heidenreich_ Doris'", " ' Heil_ G. L.'", " ' Hein_ Marco Y.'", " ' Heinemann_ Marcos Bryan'", " ' Heinen_ Paul'", " ' Heise_ Mark T.'", " ' Heise_ Mark'", " ' Heller_ Manfred'", " ' Helms_ J. Bernd'", " ' Helps_ C.R.'", " ' Hemachudha_ Thiravat'", " ' Hemida_ Maged G'", " ' Hemmila_ Erin M.'", " ' Hengge_ Ulrich R.'", " ' Henk_ W. G.'", " ' Hennighausen_ Lothar'", " ' Henning_ J.'", " ' Henriquez_ Jose A.'", " ' Hensen_ E.J.'", " ' Hensley_ Lisa E.'", " ' Hensley_ Lisa'", " ' Heo_ Deok Rim'", " ' Herbst_ W.'", " ' Herden_ Christiane'", " ' Hermanns_ Uwe'", " ' Hermant_ Aurélie'", " ' Hermeking_ Heiko'", " ' Hernandez_ Hector J.'", " ' Herold_ Jens'", " ' Herold_ Susanne'", " ' Herrler_ G.'", " ' Herrler_ Georg'", " ' Herrmann_ Torsten'", " ' Hertzig_ Tobias'", " ' Herzog_ Petra'", " ' Hesse_ R. A.'", " ' Hesselink_ W.'", " ' Heurich_ Adeline'", " ' Hevener_ Kirk E.'", " ' Hibberd_ Martin L.'", " ' Hickey_ Melissa'", " ' Hicks_ A.'", " ' Hidalgo-Hermoso_ Ezequiel'", " ' Hijazeen_ Zaidoun S.K.'", " ' Hijazi_ Ra’ed'", " ' Hilali_ Mosaad'", " ' Hilgenfeld_ Rolf'", " ' Hilgers_ Jo'", " ' Hill_ Janet E.'", " ' Hill_ Terence E.'", " ' Hill_ Terence'", " ' Hilt_ D. A.'", " ' Himatt_ Sayed'", " ' Hinedi_ K.'", " ' Hinedi_ Kareem'", " ' Hingley_ Susan T.'", " ' Hinton_ David R.'", " ' Hirata_ K. Y.'", " ' Hiscox_ Julian A.'", " ' Ho_ David D.'", " ' Ho_ David'", " ' Ho_ Hong-Nerng'", " ' Ho_ Lai-Ming'", " ' Ho_ Mei Shang'", " ' Ho_ Mei-Shang'", " ' Ho_ Tin-Yun'", " ' Ho_ Wai-Kuen'", " ' Hoang_ Agnieszka'", " ' Hodder_ Peter'", " ' Hodgson_ Teri'", " ' Hoel_ Kristen'", " ' Hoet_ Armando E'", " ' Hoever_ G.'", " ' Hofer_ Heribert'", " ' Hoffmann_ Markus'", " ' Hofmann-Lehmann_ Regina'", " ' Hofmann-Parisot_ Margarete'", " ' Hofmann-Winkler_ Heike'", " ' Hofmann_ Heike'", " ' Hofmann_ W.-K.'", " ' Hogan_ Robert J.'", " ' Hogue_ Brenda G.'", " ' Hohdatsu_ Tsutomu'", " ' Holbrook_ Michael R.'", " ' Holloway_ Peter'", " ' Holmes_ Edward C'", " ' Holmes_ Edward C.'", " ' Holmes_ K.V.'", " ' Holmes_ Kathryn V.'", " ' Holmskov_ U.'", " ' Holtz_ Kathy'", " ' Holtzman_ Michael J.'", " ' Homberger_ Felix R.'", " ' Hon_ CC'", " ' Hon_ Chung Chau'", " ' Hon_ TYW'", " ' Honda-Okubo_ Yoshikazu'", " ' Hong_ Chao'", " ' Hong_ Cheng-Fong'", " ' Hong_ F.'", " ' Hong_ Seung-Pyo'", " ' Hong_ Tao'", " ' Hong_ Wanjin'", " ' Hong_ Y. J.'", " ' Honrubia_ Jose M.'", " ' Hooghiemstra_ Lisa'", " ' Hooper_ T'", " ' Hooper_ T.'", " ' Hooper_ Tom'", " ' Hoorens_ J.'", " ' Hora_ Aline S.'", " ' Horejsh_ Douglas'", " ' Horimoto_ Taisuke'", " ' Hornitzky_ M'", " ' Horst_ Reto'", " ' Horvath_ Gabor'", " ' Horzinek_ M.C.'", " ' Hosani_ Farida Al'", " ' Hosking_ Martin P.'", " ' Hossain_ Mehjabeen'", " ' Hotez_ Peter J'", " ' Hou_ Jinlin'", " ' Hou_ Ming-Hon'", " ' Hou_ Xingyu'", " ' Hou_ Yunde'", " ' Hou_ Yuxin'", " ' Houde_ Michel'", " ' Houghton_ Michael'", " ' House_ JK'", " ' Hovi_ Tapani'", " ' Howell_ Gareth'", " ' Hsia_ Chih-Yun'", " ' Hsiao_ Cheng-Hsiang'", " ' Hsiao_ Ching-Wen'", " ' Hsiao_ Hsin-hao'", " ' Hsiao_ Pei-Wen'", " ' Hsiao_ Yu-Cheng'", " ' Hsieh_ Chang-Chi'", " ' Hsieh_ Chiu-Min'", " ' Hsieh_ Hsing-Pang'", " ' Hsieh_ Ming-Wei'", " ' Hsieh_ Tsung-Han'", " ' Hsieh_ Yueh-Chun'", " ' Hsiung_ Chao A'", " ' Hsiung_ Chao A.'", " ' Hsu_ Chun-Hua'", " ' Hsu_ Hseng-Kuang'", " ' Hsu_ Hsien-Hua'", " ' Hsu_ John T. A.'", " ' Hsu_ Su‐Ming'", " ' Hsu_ Yen-Lan'", " ' Hsu_ Yu-Fen'", " ' Hsue_ Bilan'", " ' Hu_ Ben'", " ' Hu_ Bing-Jie'", " ' Hu_ C.‐J.'", " ' Hu_ Chin-Kun'", " ' Hu_ Hui'", " ' Hu_ Jianhe'", " ' Hu_ Minjun'", " ' Hu_ Qinxue'", " ' Hu_ Shaohui'", " ' Hu_ Tiancen'", " ' Hu_ Yan'", " ' Hu_ Yawei'", " ' Hu_ Yu-Chen'", " ' Hu_ Yuanyang'", " ' Hu_ Yuyang'", " ' Hu_ Zhihong'", " ' Hua_ Shi-neng'", " ' Huan_ Yi'", " ' Huang_ Baicheng'", " ' Huang_ Baoying'", " ' Huang_ Canping'", " ' Huang_ Chang-Jen'", " ' Huang_ Cheng'", " ' Huang_ Chu-Chun'", " ' Huang_ Feng'", " ' Huang_ Fu-Yuan'", " ' Huang_ Guoqiang'", " ' Huang_ H.-Y.'", " ' Huang_ Hsuan-Cheng'", " ' Huang_ Hui-Wen'", " ' Huang_ I-Chueh'", " ' Huang_ Jason C.'", " ' Huang_ Jian-Dong'", " ' Huang_ Jian‐Dong'", " ' Huang_ Kuo-Jung'", " ' Huang_ L.-M.'", " ' Huang_ Lan'", " ' Huang_ Li'", " ' Huang_ Li-Min'", " ' Huang_ Long‐Sun'", " ' Huang_ Mei'", " ' Huang_ Ning-Na'", " ' Huang_ Qianrong'", " ' Huang_ Ren'", " ' Huang_ Shengyong'", " ' Huang_ Shiuan‐Yi'", " ' Huang_ Song'", " ' Huang_ Tai-Huang'", " ' Huang_ Tai-huang'", " ' Huang_ Xiaoyun'", " ' Huang_ Y.'", " ' Huang_ Yen-Hua'", " ' Huang_ Yi'", " ' Huang_ Yong'", " ' Huang_ Yu-Shan'", " ' Huang_ Yue'", " ' Huang_ Yu‐Hui'", " ' Huang_ Zhongxi'", " ' Huang_ Zi-Tong'", " ' Huang_ Zitong'", " ' Huanying_ Zheng'", " ' Huber_ Wolfgang'", " ' Hubich-Rau_ Stefanie'", " ' Hufert_ Frank T.'", " ' Hughes_ Scott A.'", " ' Hui_ D S C'", " ' Hui_ D. S.'", " ' Hui_ David S'", " ' Hui_ David S. C.'", " ' Hui_ KH'", " ' Hui_ Raymond Kin Hi'", " ' Hui_ Suk-Wai'", " ' Hui_ Wai-Ting'", " ' Huizinga_ Eric G.'", " ' Hulswit_ Ruben J. G.'", " ' Hung Chan_ Kwok'", " ' Hung_ Chien-Fu'", " ' Hung_ ECW'", " ' Hung_ Emily C W'", " ' Hung_ I.F.N'", " ' Hung_ IFN'", " ' Hung_ Ivan F. N.'", " ' Hung_ Ivan FN'", " ' Hung_ Shan-Ling'", " ' Hung_ Tao'", " ' Hunter_ Paul R'", " ' Hur_ Young Joo'", " ' Hurst-Hess_ Kelley R.'", " ' Hurst_ Kelley R.'", " ' Hussain_ Issam I'", " ' Hussain_ K. A.'", " ' Hussain_ Raheela'", " ' Hussain_ Snawar'", " ' Hutchison_ Stephen K.'", " ' Hutzler_ Stefan'", " ' Huynh_ Jeremy'", " ' Hwa_ K Y'", " ' Hwang_ Der-Ren'", " ' Hwang_ Le-Ann'", " ' Hwang_ Seungmin'", " ' Hägglund_ Sara'", " ' Hélène Verheije_ M.'", " ' Höcker_ Lena'", " ' Höfling_ Katja'", " ' Hünten_ Sabine'", " ' Iacono_ Kathryn T'", " ' Ibata_ Georgina'", " ' Iblan_ Ibrahim'", " ' Ibrahim_ Adel K.'", " ' Icatlo_ Faustino C.'", " ' Ieven_ Margareta'", " ' Iha_ Koichiro'", " ' Ikeda_ Toshio'", " ' Ikegami_ Tetsuro'", " ' Ikehara_ Yuzuru'", " ' Iki_ Shigeo'", " ' Ikuta_ K.'", " ' Ikuta_ Kazuyoshi'", " ' Illei_ Gabor'", " ' Imada_ Yoshio'", " ' Imai_ Yumiko'", " ' Imbert_ Isabelle'", " ' Immonen_ Milla'", " ' Inaba_ Y.'", " ' Indoh_ Tomokazu'", " ' Ingallinella_ Paolo'", " ' Ingersoll_ J. D.'", " ' Inglis_ S.C.'", " ' Inglis_ Stephen C.'", " ' Inoue_ A.'", " ' Inoue_ Jun-ichiro'", " ' Inoue_ Shingo'", " ' Inoue_ Taisuke'", " ' Ip_ M.'", " ' Ip_ Margaret'", " ' Ip_ Sin-Ming'", " ' Ippolito_ Giuseppe'", " ' Isakov_ Ofer'", " ' Ishida_ Isao'", " ' Ishiguro_ Nobuhisa'", " ' Ishihara_ Takashi'", " ' Ishihara_ Yuka'", " ' Ishii_ Koji'", " ' Ishikawa_ R.'", " ' Ishizaka_ Yukihito'", " ' Islam_ Mazharul'", " ' Itamura_ Shigeyuki'", " ' Ithete_ Ndapewa Laudika'", " ' Ito_ Naoto'", " ' Ito_ Y.'", " ' Ito_ Yoko'", " ' Itoh_ K.'", " ' Itoh_ Norikazu'", " ' Itoyama_ S.'", " ' Iversen_ Patrick L.'", " ' Iverson_ Brent'", " ' Iwakura_ Yoichiroh'", " ' Iwane_ Marika K.'", " ' Iwane_ Marika'", " ' Iwata_ Naoko'", " ' Iwata_ Satoshi'", " ' Izeta_ Ander'", " ' Izmirly_ Abdullah'", " ' JIANG_ Hua Liang'", " ' JIA_ Jie'", " ' JIN_ You Xin'", " ' JI_ Yong Yong'", " ' Jabado_ Omar J.'", " ' Jackson_ Jadon P.'", " ' Jackwood_ M. W.'", " ' Jacob_ Yves'", " ' Jacobs_ Bertram L.'", " ' Jacobsen_ Gary'", " ' Jacoby_ R. O.'", " ' Jacomy_ Hélène'", " ' Jager_ E.J.'", " ' Jagt_ Erik'", " ' Jahanshiri_ Fatemeh'", " ' Jahn_ Olaf'", " ' Jahrling_ Peter B.'", " ' Jain_ Komal'", " ' Jain_ Pooja'", " ' Jalilian_ Farid Azizi'", " ' Jameel_ Shahid'", " ' James_ Britnie R.'", " ' Jamieson_ Denise J.'", " ' Jamjoom_ Ghazi A.'", " ' Jan_ Jia-Tsrong'", " ' Janda_ Jozef'", " ' Jang_ J.‐H.'", " ' Jankevicius_ Gytis'", " ' Jansen_ Christine A.'", " ' Janssens_ Wim'", " ' Jany_ Sylvia'", " ' Jané_ Mireia'", " ' Jarour_ Najwa'", " ' Jaszewski_ Andrew'", " ' Jaume_ Martial'", " ' Javadi_ Massoud'", " ' Jayaram_ Jyothi'", " ' Jayaraman_ Priya'", " ' Jaynes_ C.A.'", " ' Jebbink_ Maarten F'", " ' Jebbink_ Maarten F.'", " ' Jebbink_ Maarten'", " ' Jeffers_ Scott A.'", " ' Jeng_ Sophia'", " ' Jenner_ Alison J.'", " ' Jensen_ Kara L.'", " ' Jensen_ Kara'", " ' Jeon_ Soyoung'", " ' Jeong_ Byeong-Jin'", " ' Jeong_ Cheol'", " ' Jeong_ D. G.'", " ' Jeong_ Ina'", " ' Jeong_ J. H.'", " ' Jeong_ Jae-Ho'", " ' Jeong_ WooSeog'", " ' Jeong_ Yong Seok'", " ' Jeoung_ Hye-Young'", " ' Jerez_ J. A.'", " ' Jerome_ Keith R'", " ' Jerome_ Keith R.'", " ' Jesudoss_ S.'", " ' Jewell_ Alexander K.'", " ' Jha_ Babal K.'", " ' Jha_ Babal\\xa0K.'", " ' Ji_ Kaiyuan'", " ' Ji_ Xiu-Juan'", " ' Jia_ Hao'", " ' Jia_ Hong Peng'", " ' Jia_ Lilong'", " ' Jia_ Zhihui'", " ' Jiang_ C.'", " ' Jiang_ Chengyu'", " ' Jiang_ Hong'", " ' Jiang_ Hua-liang'", " ' Jiang_ Hualiang'", " ' Jiang_ Jianli'", " ' Jiang_ Jie-Qing'", " ' Jiang_ Jie‐Qing'", " ' Jiang_ Jing-wei'", " ' Jiang_ Li-Yun'", " ' Jiang_ Lingxiao'", " ' Jiang_ Pengfei'", " ' Jiang_ Shibo'", " ' Jiang_ Shih Sheng'", " ' Jiang_ Xiugao'", " ' Jiang_ Y'", " ' Jiang_ Yanping'", " ' Jiang_ Yong'", " ' Jiang_ Yu'", " ' Jiao_ Jin-An'", " ' Jicheng_ Huang'", " ' Jimenez-Guardeño_ Jose M.'", " ' Jiménez-Guardeño_ Jose M.'", " ' Jiménez_ Gustavo'", " ' Jin_ Changwen'", " ' Jin_ Dong-Yan'", " ' Jin_ Dongyan'", " ' Jin_ Min'", " ' Jin_ Qi'", " ' Jin_ Qiushuang'", " ' Jin_ Xu'", " ' Jin_ Yanwen'", " ' Jing_ Huaiqi'", " ' Jingqiang_ Zhang'", " ' Jinming_ Cui'", " ' Jittmittraphap_ Akanitt'", " ' Joachimiak_ Andrzej'", " ' Jochmans_ Dirk'", " ' Joh_ Joon-Sung'", " ' Johansen_ Lisa M.'", " ' Johnson-Lussenburg_ C. Margaret'", " ' Johnson_ C. K.'", " ' Johnson_ Garrett G.'", " ' Johnson_ Joshua B.'", " ' Johnson_ Margaret A.'", " ' Johnson_ Michael E.'", " ' Johnson_ Reed F.'", " ' Johnson_ Reed'", " ' Johnson_ Steven'", " ' Johnston_ Melanie L.'", " ' Johnston_ Robert E.'", " ' Johnston_ Robert'", " ' Jokhdar_ Hani'", " ' Jolly_ S.'", " ' Jombart_ Thibaut'", " ' Jona_ Ghil'", " ' Jonas_ Albert M.'", " ' Jones_ Ian M.'", " ' Jones_ Kathryn'", " ' Jones_ Louis M.'", " ' Jones_ Steven M.'", " ' Jongeneelen_ Mandy A. C.'", " ' Jonges_ Marcel'", " ' Jonsdottir_ Hulda'", " ' Jonsson_ Colleen'", " ' Joos_ Guy F'", " ' Jordan_ Robert'", " ' Jores_ Joerg'", " ' Joseph_ Jeremiah S.'", " ' Joseph_ Jeremiah'", " ' Josset_ Laurence'", " ' Jothy_ Serge'", " ' Jou_ Ming‐Jia'", " ' Joyce_ M. Gordon'", " ' Joyjinda_ Yutthana'", " ' Joyner_ Priscilla H.'", " ' Ju_ Jing'", " ' Ju_ Tina W.'", " ' Ju_ Xiangwu'", " ' Juan_ Hsueh-Fen'", " ' Juang_ Jyh-Lyh'", " ' Jukneliene_ Dalia'", " ' Julkunen_ Ilkka'", " ' Juma Ngeiywa_ Kisi J. Z.'", " ' Jumpasri_ Jaruphan'", " ' Jung_ Hee-Dong'", " ' Jung_ Kwonil'", " ' Jung_ Shiao-Ying'", " ' Junglen_ Sandra'", " ' Jónsdóttir_ Hulda R.'", " ' KAPIKIAN_ ALBERT Z.'", " ' KERLIN_ D. H.'", " ' KONG_ XIANGANG'", " ' Kaandorp_ Jos'", " ' Kaasik Aaslav_ K.'", " ' Kabala_ Wojciech'", " ' Kaewpom_ Thongchai'", " ' Kain_ Kevin C.'", " ' Kainulainen_ Helena'", " ' Kaiser_ Laurent'", " ' Kaji_ M.'", " ' Kakizaki_ Masatoshi'", " ' Kalinke_ Ulrich'", " ' Kallies_ Rene'", " ' Kallies_ René'", " ' Kallies_ Stephan'", " ' Kaloyanova_ Dora V.'", " ' Kalter_ S. S.'", " ' Kamau_ Esther'", " ' Kamili_ Shifaq'", " ' Kamitani_ Wataru'", " ' Kamrud_ Kurt I.'", " ' Kandeil_ Ahmed'", " ' Kane_ Joy A. C.'", " ' Kanekiyo_ Masaru'", " ' Kaneko_ N.'", " ' Kang_ Chun'", " ' Kang_ Hae Ji'", " ' Kang_ Hee-Kyoung'", " ' Kang_ Hyojeung'", " ' Kang_ Ju-Il'", " ' Kang_ M. I.'", " ' Kang_ Mun-Il'", " ' Kang_ Wei'", " ' Kang_ Xue'", " ' Kang_ Ying Jin'", " ' Kania_ Stephen'", " ' Kanjanahaluethai_ Amornrat'", " ' Kannagi_ Mari'", " ' Kanno_ Toru'", " ' Kanou_ Kazuhiko'", " ' Kao_ C. Cheng'", " ' Kao_ Chuan-Liang'", " ' Kao_ Chuan‐Liang'", " ' Kao_ R.Y.T'", " ' Kao_ Richard Y. T.'", " ' Kapil_ Parul'", " ' Kapil_ S.'", " ' Kapil_ Sanjay'", " ' Kapoor_ Amit'", " ' Kapoor_ Vishal'", " ' Karesh_ William B.'", " ' Kariwa_ Hiroaki'", " ' Karl_ Nadja'", " ' Karsten_ Christina B.'", " ' Kasai_ Masataka'", " ' Kassiri_ Z.'", " ' Kataoka_ Katsuko'", " ' Katayama_ Yoshinari'", " ' Kato_ Kentaro'", " ' Katze_ Michael G.'", " ' Kaup_ Franziska'", " ' Kawachi_ Kengo'", " ' Kawaguchi_ Yasushi'", " ' Kawase_ Miyuki'", " ' Kayali_ Ghazi'", " ' Kazi_ Lubna'", " ' Ke_ Changwen'", " ' Ke_ Min'", " ' Keck_ James G.'", " ' Keel_ M. K.'", " ' Keep_ Sarah M.'", " ' Keep_ Sarah'", " ' Keevil_ C. William'", " ' Kehl_ Alexandra'", " ' Kehrl_ John H.'", " ' Keicho_ N.'", " ' Kellam_ Paul'", " ' Kelly_ D.F.'", " ' Kelly_ Jenna'", " ' Kelly_ Sean M.'", " ' Kelsey_ Douglas K.'", " ' Kelvin_ David'", " ' Kemp_ C. Fred'", " ' Keng_ Choong-Tat'", " ' Keng_ Choong‐Tat'", " ' Kenney_ Scott P.'", " ' Kerrigan_ Maureen'", " ' Kesel_ Andreas J.'", " ' Kew_ Chun'", " ' Keyaerts_ Els'", " ' Khadijah_ Siti'", " ' Khairalla_ Hanan'", " ' Khalid_ Imran'", " ' Khan_ Amir S.'", " ' Khan_ Bilal Ahmed'", " ' Khan_ Iahtasham'", " ' Khan_ Saeed'", " ' Kheyami_ Ali'", " ' Khongwichit_ Sarawut'", " ' Khoo_ Ui-Soon'", " ' Ki_ Moran'", " ' Kido_ Yasuji'", " ' Kien_ F.'", " ' Kien_ Francois'", " ' Kienzle_ Thomas E.'", " ' Kikkert_ Marjolein'", " ' Kikuchi_ T.'", " ' Kikuta_ Hideaki'", " ' Killerby_ Marie E.'", " ' Kim_ A-Reum'", " ' Kim_ Alice M.'", " ' Kim_ Chul-Joong'", " ' Kim_ Dae-Won'", " ' Kim_ Do-Won'", " ' Kim_ Doman'", " ' Kim_ Eun'", " ' Kim_ G. Y.'", " ' Kim_ Gayeon'", " ' Kim_ Gwanghun'", " ' Kim_ Gye-Yeop'", " ' Kim_ H. H.'", " ' Kim_ H. K.'", " ' Kim_ Ha-Hyun'", " ' Kim_ Hak'", " ' Kim_ Hana'", " ' Kim_ Hongik'", " ' Kim_ J. Joseph'", " ' Kim_ Jae-Ouk'", " ' Kim_ Jeeho D.'", " ' Kim_ Jerome H.'", " ' Kim_ Joo Ae'", " ' Kim_ Junghyun'", " ' Kim_ Kisoon'", " ' Kim_ Kwang'", " ' Kim_ Kyoung-Yoon'", " ' Kim_ Kyung Min'", " ' Kim_ M.S.'", " ' Kim_ Mi Kyoung'", " ' Kim_ Namil'", " ' Kim_ Okjin'", " ' Kim_ S. K.'", " ' Kim_ Sang-Ki'", " ' Kim_ Sanguk'", " ' Kim_ Seong-Jun'", " ' Kim_ Seung-Tae'", " ' Kim_ Su Jin'", " ' Kim_ Sung Soon'", " ' Kim_ Taeg S.'", " ' Kim_ Y.'", " ' Kim_ Yae-Jean'", " ' Kim_ Yeon-Sook'", " ' Kim_ Yeonjae'", " ' Kim_ Yong‐Tae'", " ' Kim_ You-Jung'", " ' Kim_ Young-Min'", " ' Kimberly_ Robert'", " ' Kimura_ Takashi'", " ' Kindler_ Eveline'", " ' Kindrachuk_ Jason'", " ' King_ Chwan-Chuan'", " ' King_ Chwan-Chuen'", " ' Kinnari_ Teemu J.'", " ' Kinne_ Joerg'", " ' Kinoshita_ Yuta'", " ' Kirby_ Patricia'", " ' Kirikae_ F.'", " ' Kirikae_ T.'", " ' Kirikae_ Teruo'", " ' Kirkland_ PD'", " ' Kiso_ Yoshiaki'", " ' Kissinger_ J. C.'", " ' Kiyota_ Asuka'", " ' Kjeldsberg_ Elisabeth'", " ' Klagge_ Ingo'", " ' Klaus_ Joseph P.'", " ' Kledal_ T. N.'", " ' Klein_ M.'", " ' Kleinjan_ Alex'", " ' Klingström_ Jonas'", " ' Klover_ Peter'", " ' Knaap_ Robert C. M.'", " ' Knight_ Jennifer B.'", " ' Knoops_ Kèvin'", " ' Ko_ R. L. W.'", " ' Koay_ Evelyn S. C.'", " ' Kobayashi_ Shintaro'", " ' Kobayashi_ Takashi'", " ' Kobinger_ Gary P.'", " ' Kobinger_ Gary'", " ' Kochan_ Grazyna'", " ' Kodama_ Eiichi'", " ' Kodama_ Yoshikatsu'", " ' Koekkoek_ Sylvie M.'", " ' Koerten_ Henk K.'", " ' Koetzner_ Cheri A.'", " ' Koga_ Makoto'", " ' Koh_ D.R.'", " ' Koh_ Susie'", " ' Kok_ Kin-Hang'", " ' Kok_ Raven K H'", " ' Kolassa_ John E.'", " ' Kolbe_ Thomas'", " ' Kolesnikova_ Larissa'", " ' Kolijn_ Kimberley'", " ' Kolinski_ Andrzej'", " ' Kolodziejek_ Jolanta'", " ' Komatsu_ N.'", " ' Komurian-Pradel_ Florence'", " ' Kon_ Yasuhiro'", " ' Kondo_ Takashi'", " ' Kong_ Lingbao'", " ' Kong_ Qing-Xin'", " ' Kong_ Wing-Pui'", " ' Kong_ Wing-pui'", " ' Kong_ X. G.'", " ' Kong_ Xiangang'", " ' Kongwang_ He'", " ' Konishi_ Shin-ichiro'", " ' Koonin_ Eugene V.'", " ' Koopmans_ M. P. G.'", " ' Koopmans_ Marion P G'", " ' Koopmans_ Marion P. G.'", " ' Koopmans_ Marion P.'", " ' Koopmans_ Marion PG'", " ' Kopecky-Bromberg_ Sarah A.'", " ' Koprowski_ Hilary'", " ' Korth_ Marcus J.'", " ' Kosak_ Kenneth'", " ' Koster_ Abraham J.'", " ' Kostrikis_ Leondios G.'", " ' Kotani_ Osamu'", " ' Kou_ Yi-Hen'", " ' Kou_ Zhihua'", " ' Koumans_ Joseph'", " ' Koup_ Richard A.'", " ' Kousoulas_ K. G.'", " ' Koval_ Michael'", " ' Kozakov_ Dima'", " ' Kramme_ Stefanie'", " ' Kratzing_ C. C.'", " ' Krause_ Helen E.'", " ' Krause_ Philip R.'", " ' Kraynyak_ Kimberly A.'", " ' Kreiswirth_ Nate'", " ' Kremendahl_ J'", " ' Kremendahl_ J.'", " ' Kremer_ Leonor'", " ' Kreuz_ Dorothea'", " ' Kristen-Burmann_ Claudia'", " ' Kristiansen_ T. B.'", " ' Kroeker_ Andrew D.'", " ' Krogmann_ Tammy'", " ' Krumbiegel_ Mandy'", " ' Krähling_ Verena'", " ' Krämer-Kühl_ Annika'", " ' Ksiazek_ Thomas G.'", " ' Ksiazek_ Thomas'", " ' Ktistakis_ Nick T'", " ' Ku_ Seulah'", " ' Kuai_ Xuezhang'", " ' Kuang_ Tieji'", " ' Kuate_ Seraphin'", " ' Kubo_ Hideyuki'", " ' Kucewicz_ Ewa'", " ' Kuhar_ David T.'", " ' Kuhn_ Jens H'", " ' Kuhn_ Jens H.'", " ' Kuhn_ Peter'", " ' Kuijpers_ Taco W.'", " ' Kuiken_ Thijs'", " ' Kumaki_ Yohichi'", " ' Kumar_ Alan'", " ' Kumar_ Pankaj'", " ' Kumar_ Parag'", " ' Kumar_ Ravinder'", " ' Kung_ Hsiang-Fu'", " ' Kung_ Hsiang‐Fu'", " ' Kunpeng_ Li'", " ' Kuo_ Chih-Jung'", " ' Kuo_ Hung-Wei'", " ' Kuo_ Lili'", " ' Kuo_ Ming-Der'", " ' Kuo_ Tse-Chun'", " ' Kuo_ Y M'", " ' Kupfer_ Bernd'", " ' Kupke_ Alexandra'", " ' Kuranga_ Sulyman A'", " ' Kurano_ Yoshihiro'", " ' Kuratsuji_ T.'", " ' Kuri_ Thomas'", " ' Kurogi_ H.'", " ' Kuroki_ Masahiko'", " ' Kurtz_ S.tanley'", " ' Kurup_ Drishya'", " ' Kus_ Krzysztof'", " ' Kusov_ Yuri'", " ' Kutter_ Jasmin'", " ' Kuypers_ Jane M'", " ' Kuypers_ Jane M.'", " ' Kuypers_ Jane'", " ' Kuziel_ William A.'", " ' Kwan_ Grace S. W.'", " ' Kwan_ H. M.'", " ' Kwan_ See Wai'", " ' Kwang_ Jimmy'", " ' Kwon_ Donghyok'", " ' Kwong_ Peter D.'", " ' Kyle_ Christopher J.'", " ' Kyuwa_ Shigeru'", " ' Köhler_ K'", " ' König_ Matthias'", " ' König_ Renate'", " ' Kübber-Heiss_ Anna'", " ' LAL_ SUNIL K.'", " ' LANE_ THOMAS E.'", " ' LAVENANT_ L.'", " ' LEHRBACH_ PR'", " ' LIU_ YONGGANG'", " ' LI_ Yi Xue'", " ' LUYTJES_ WILLEM'", " ' LU_ Wei'", " ' La Monica_ Nicola'", " ' LaCasse_ Rachel'", " ' Laarman_ Alexander'", " ' Lachance_ Paule'", " ' Lackner_ Andrew'", " ' Lacny_ Jason J.'", " ' Lacroix_ Jean‐Michel'", " ' Lacroix_ Martial'", " ' Lage_ Andrey Pereira'", " ' Lager_ Kelly M.'", " ' Lai_ Chien-Chen'", " ' Lai_ Chien‐Chen'", " ' Lai_ Chih-Ho'", " ' Lai_ Ching‐Lung'", " ' Lai_ Kenneth K. Y.'", " ' Lai_ Luhua'", " ' Lai_ M. M. C.'", " ' Lai_ M.M.C.'", " ' Lai_ Michael M. C.'", " ' Lai_ Michael M.C.'", " ' Lai_ RWM'", " ' Lai_ ST'", " ' Lai_ Sik-To'", " ' Lai_ Sik‐To'", " ' Lai_ Yiu-Kay'", " ' Laid_ Boukrâa'", " ' Laidlaw_ Monique'", " ' Lal_ Sunil K.'", " ' Lal_ Sunil\\xa0K.'", " ' Lam_ Carol S. F.'", " ' Lam_ Clarence C. K.'", " ' Lam_ Pokman'", " ' Lam_ Pui-Yi'", " ' Lam_ Tsan-Yuk'", " ' Lam_ Wai Yip'", " ' Laman_ Jon D'", " ' Lamfers_ Martine L. M.'", " ' Lamirande_ Elaine W'", " ' Lamirande_ Elaine W.'", " ' Lamirande_ Elaine'", " ' Lamontagne_ Lucie'", " ' Lan_ Jiaming'", " ' Lan_ Tian'", " ' Landon_ R. M.'", " ' Landt_ Olfert'", " ' Lane_ Thomas E'", " ' Lane_ Thomas E.'", " ' Laneve_ Pietro'", " ' Lang_ Jianshe'", " ' Lang_ Yifei'", " ' Langereis_ Martijn A.'", " ' Langeveld_ Jan P.M.'", " ' Langland_ Jeffrey O.'", " ' Langrish_ Christopher J.'", " ' Lanini_ Simone'", " ' Lantez_ Violaine'", " ' Lanzavecchia_ Antonio'", " ' Laporte_ J.'", " ' Lapps_ William E.'", " ' Lapps_ William'", " ' Larbi_ Richard'", " ' Larsen_ Lars Erik'", " ' Larson_ Blake J.'", " ' Larson_ Richard C'", " ' Larsson_ B.'", " ' Lathrop_ S.'", " ' Lattwein_ Erik'", " ' Lau_ Allan S. Y.'", " ' Lau_ Candy C. Y.'", " ' Lau_ Candy Choi-Yi'", " ' Lau_ Chi-Shan'", " ' Lau_ Eric HY'", " ' Lau_ Johnson Y. N.'", " ' Lau_ S. K. P.'", " ' Lau_ Suelyn'", " ' Lau_ Susanna K. P.'", " ' Lau_ Susanna K.P.'", " ' Lau_ Susanna KP'", " ' Lau_ Terence'", " ' Lau_ Terrence C K'", " ' Lau_ Yu Lung'", " ' Lau_ Yu-Lung'", " ' Lau_ Yu-lung'", " ' Lau_ Yuk Fai'", " ' Lauber_ Chris'", " ' Laude_ H.'", " ' Laude_ Hubert'", " ' Lavazza_ Antonio'", " ' Lavenant_ L.'", " ' Lavender_ Hayley'", " ' Lavi_ Ehud'", " ' Law_ G. Lynn'", " ' Law_ Helen'", " ' Law_ KI'", " ' Lawrence_ John M.'", " ' Lazarus_ Hilary'", " ' Le Coupanec_ Alain'", " ' Le Poder_ Sophie'", " ' Le_ Mai Quynh'", " ' Le_ Nhung Thi Tuyet'", " ' Lear-Rooney_ Calli M.'", " ' Lebon_ Pierre'", " ' Lee_ Alice S.'", " ' Lee_ Amber I-Ru'", " ' Lee_ Andrew Chak-Yiu'", " ' Lee_ Bonita E.'", " ' Lee_ C.-Y.'", " ' Lee_ CY'", " ' Lee_ Changhwan'", " ' Lee_ Chia-Huei'", " ' Lee_ Chih‐Kung'", " ' Lee_ Chin-Yun'", " ' Lee_ Chun-Wei'", " ' Lee_ Davy C. W.'", " ' Lee_ Fang-Jen S.'", " ' Lee_ Han Saem'", " ' Lee_ Heeyoung'", " ' Lee_ Hooi Chen'", " ' Lee_ Horace Hok Yeung'", " ' Lee_ Hyun'", " ' Lee_ Insun'", " ' Lee_ Jeffrey E'", " ' Lee_ Ji Yeon'", " ' Lee_ Jin Hyup'", " ' Lee_ Joo-Shil'", " ' Lee_ Kam‐Cheong'", " ' Lee_ Keon-Joo'", " ' Lee_ Kuan‐Rong'", " ' Lee_ Marvin J.-R.'", " ' Lee_ Myoung-Heon'", " ' Lee_ N'", " ' Lee_ Nelson'", " ' Lee_ Paul'", " ' Lee_ Ping-Ing'", " ' Lee_ Rodney A.'", " ' Lee_ Shih‐Yuan'", " ' Lee_ Shin-jye'", " ' Lee_ Sung Dae'", " ' Lee_ T.S.W'", " ' Lee_ Tau Hong'", " ' Lee_ Ting-Ting'", " ' Lee_ Tzu-Ying'", " ' Lee_ Wooseong'", " ' Lee_ Yuan-Ming'", " ' Leete_ Jennifer'", " ' Legrand-Quillien_ Marie-Christine'", " ' Legrand_ Loïc'", " ' Legrand_ M.C.'", " ' Lehmann_ Dörte'", " ' Lehrbach_ Philip R.'", " ' Lei_ H Y'", " ' Lei_ Jian'", " ' Lei_ Lian-Cheng'", " ' Lei_ Tingting'", " ' Lei_ Wanli'", " ' Leibbrandt_ Andreas'", " ' Leibowitz_ Julian L.'", " ' Leijon_ Mikael'", " ' Leijten_ Lonneke M. E.'", " ' Leisenring_ Wendy M'", " ' Leisenring_ Wendy M.'", " ' Leist_ Sarah R.'", " ' Lele_ Y'", " ' Lely_ AT'", " ' Lemaire_ Xavier'", " ' Lemaitre_ E.'", " ' Lemey_ Philippe'", " ' Lemieux_ Suzanne'", " ' Lemke_ C.'", " ' Lenardo_ Michael J.'", " ' Lenstra_ J.A.'", " ' Lenstra_ Johannes A.'", " ' Lentze_ Michael J.'", " ' Leo_ Sin Yee'", " ' Leo_ Y-S'", " ' Leon Thacker_ H.'", " ' Leon_ L.'", " ' Leong_ H-N'", " ' Leong_ Hoe Nam'", " ' Leong_ Hoe-Nam'", " ' Leonhardt_ Heinrich'", " ' Leotte_ Jaqueline'", " ' Lepault_ Jean'", " ' Leroy_ Eric M.'", " ' Lescar_ Julien'", " ' Leshem_ Eyal'", " ' Lester_ T. L.'", " ' Leukert_ W.'", " ' Leung_ Bernard P.'", " ' Leung_ Connie Y. H.'", " ' Leung_ Cynthia S.W.'", " ' Leung_ FC'", " ' Leung_ Frederick C. C.'", " ' Leung_ Frederick Chi Ching'", " ' Leung_ Frederick Chi-Ching'", " ' Leung_ Gabriel M.'", " ' Leung_ Hiu L.'", " ' Leung_ Kwanyee'", " ' Leung_ Nancy Hiu Lan'", " ' Leung_ SW'", " ' Leung_ Suet-Yi'", " ' Leung_ Suet-yi'", " ' Leung_ Sze Pui'", " ' Leung_ Y. H. C.'", " ' Leutenegger_ Christian'", " ' Levi_ José Eduardo'", " ' Levy_ Frederic'", " ' Levy_ Gary'", " ' Lewicki_ Daniel N.'", " ' Lewis_ P.'", " ' Li_ Bao'", " ' Li_ Baozong'", " ' Li_ Bei'", " ' Li_ Biehu'", " ' Li_ Changlong'", " ' Li_ Changwen'", " ' Li_ Chuan'", " ' Li_ Chuangen'", " ' Li_ Chufang'", " ' Li_ Chung Yi'", " ' Li_ Chung-Leung'", " ' Li_ Cun'", " ' Li_ Dexin'", " ' Li_ Di'", " ' Li_ Dong'", " ' Li_ Fang'", " ' Li_ Fengdi'", " ' Li_ G. J.'", " ' Li_ Gang'", " ' Li_ Guichang'", " ' Li_ Hao'", " ' Li_ Hong'", " ' Li_ Hongbin'", " ' Li_ Hui'", " ' Li_ Hui-Chun'", " ' Li_ Huixin'", " ' Li_ Huiyan'", " ' Li_ J'", " ' Li_ Jeng-Yi'", " ' Li_ Jiaming'", " ' Li_ Jian'", " ' Li_ Jian-Feng'", " ' Li_ Jiandong'", " ' Li_ Jiangfan'", " ' Li_ Jianqi'", " ' Li_ Jianrong'", " ' Li_ Jie'", " ' Li_ Jin-Man'", " ' Li_ Jin-Song'", " ' Li_ Jingjing'", " ' Li_ Jingxiang'", " ' Li_ Jinxiang'", " ' Li_ Juan'", " ' Li_ Jun'", " ' Li_ Jun-Wen'", " ' Li_ Juo‐Yan'", " ' Li_ Kenneth S M'", " ' Li_ Kenneth S. M.'", " ' Li_ Kui'", " ' Li_ Kun'", " ' Li_ L. F.'", " ' Li_ Lei'", " ' Li_ Li'", " ' Li_ Liang'", " ' Li_ Lichun'", " ' Li_ Lin'", " ' Li_ Ling'", " ' Li_ Ling-Hui'", " ' Li_ Linhai'", " ' Li_ Machao'", " ' Li_ Meng'", " ' Li_ Minwei'", " ' Li_ Nan L.'", " ' Li_ Ping H.'", " ' Li_ Ping Hung'", " ' Li_ Ping'", " ' Li_ Pingping'", " ' Li_ Qianwen'", " ' Li_ Rong-song'", " ' Li_ Ruiling'", " ' Li_ Sandra'", " ' Li_ Shi-Yue'", " ' Li_ Shih‐Wein'", " ' Li_ Shimena'", " ' Li_ Shu-Ming'", " ' Li_ Shuang'", " ' Li_ Taisheng'", " ' Li_ Tong'", " ' Li_ VYY'", " ' Li_ W.'", " ' Li_ Wei'", " ' Li_ Weihua'", " ' Li_ Weikai'", " ' Li_ Wendong'", " ' Li_ Wenhui'", " ' Li_ Wentao'", " ' Li_ Xiao'", " ' Li_ Xiaohai'", " ' Li_ Xiaolei'", " ' Li_ Xiaorong'", " ' Li_ Xin'", " ' Li_ Xu'", " ' Li_ Xuemei'", " ' Li_ Xuguang'", " ' Li_ Y.J.'", " ' Li_ Yan'", " ' Li_ Yang'", " ' Li_ Yanhan'", " ' Li_ Ye'", " ' Li_ Yi-Xue'", " ' Li_ Yijing'", " ' Li_ Yize'", " ' Li_ Yong'", " ' Li_ Yong-Gang'", " ' Li_ Yonghua'", " ' Li_ Yu'", " ' Li_ Yuan'", " ' Li_ Yue'", " ' Li_ Zeshi'", " ' Li_ Zhaoyang'", " ' Li_ Zhe'", " ' Li_ Zhen'", " ' Li_ Zhengquan'", " ' Li_ Zhi-Hong'", " ' Li_ Zhijie'", " ' Li_ Zhong'", " ' Li_ Zhuguo'", " ' Liais_ Etienne'", " ' Lian_ Gewei'", " ' Lianfeng_ Zhang'", " ' Liang_ Chao'", " ' Liang_ E.'", " ' Liang_ Fu-Sen'", " ' Liang_ Guodong'", " ' Liang_ Kung-Yee'", " ' Liang_ Lin'", " ' Liang_ Mifang'", " ' Liang_ Ping'", " ' Liang_ Po-Huang'", " ' Liang_ Shu-Yuan'", " ' Liang_ Shuling'", " ' Liang_ Weili'", " ' Liang_ Wen-Jia'", " ' Liang_ Xueya'", " ' Liao_ Chih-Hsien'", " ' Liao_ Fang'", " ' Liao_ Fong'", " ' Liao_ Lujian'", " ' Liao_ Min'", " ' Liao_ Ming'", " ' Liao_ P C'", " ' Liao_ Y.'", " ' Liao_ Ying'", " ' Liao_ Yong'", " ' Liao_ Zhi-yong'", " ' Lichière_ Julie'", " ' Lichty_ Brian D.'", " ' Liddington_ Robert C.'", " ' Liepold_ Thomas'", " ' Liljander_ Anne M.'", " ' Lim_ Dong-Gyun'", " ' Lim_ Geum-Ki'", " ' Lim_ Ji-Ae'", " ' Lim_ Landri'", " ' Lim_ P. L.'", " ' Lim_ Seng Gee'", " ' Lim_ Tow K.'", " ' Lim_ W'", " ' Lim_ Wilina W. L.'", " ' Lim_ Wilina WL'", " ' Lim_ Wilina'", " ' Limpens_ Ronald W. A. L.'", " ' Lin Ean_ Lynette Oon'", " ' Lin_ C F'", " ' Lin_ Chao-Nan'", " ' Lin_ Chen-Lung S'", " ' Lin_ Cheng-Wen'", " ' Lin_ Cheng‐Wen'", " ' Lin_ Chii‐Wann'", " ' Lin_ Ching-Houng'", " ' Lin_ Chun-Hung'", " ' Lin_ Chun‐Ching'", " ' Lin_ Fu-Sen'", " ' Lin_ Guan-Ling'", " ' Lin_ Hanxin'", " ' Lin_ Jian'", " ' Lin_ Jih-Hui'", " ' Lin_ Jin-Yan'", " ' Lin_ Kuan-Hsun'", " ' Lin_ L.'", " ' Lin_ Lisa D.'", " ' Lin_ Marie\\u2005C.\\u2005M.'", " ' Lin_ Meng-Hsuan'", " ' Lin_ Min-Han'", " ' Lin_ Pi-Shiu'", " ' Lin_ Ren-Kuo'", " ' Lin_ Richard D.'", " ' Lin_ Rongtuan'", " ' Lin_ Shan-Shan'", " ' Lin_ Shiang-Ming'", " ' Lin_ Shiming'", " ' Lin_ Shu-Guang'", " ' Lin_ T. L.'", " ' Lin_ T.L'", " ' Lin_ Ting-Hsiang'", " ' Lin_ Tsang Long'", " ' Lin_ Tze-Yi'", " ' Lin_ Xian-Dan'", " ' Lin_ Yi-Lun'", " ' Lin_ Yi-Wei'", " ' Lin_ Yiguang'", " ' Lin_ Ying-Ju'", " ' Lin_ Ying‐Ju'", " ' Lin_ Yong-Ping'", " ' Lin_ Yong‐Ping'", " ' Lin_ You-Chin'", " ' Lin_ Yu‐Tsan'", " ' Lin_ Zhan-Yi'", " ' Lindahl_ Päivi'", " ' Linde_ N.'", " ' Lindesmith_ Lisa'", " ' Lindsley_ Craig W.'", " ' Ling_ A-E'", " ' Ling_ A.E.'", " ' Ling_ Ai Ee'", " ' Ling_ Ai-Ee'", " ' Ling_ Ai‐Ee'", " ' Ling_ Fang'", " ' Ling_ Khoon Lin'", " ' Linial_ Michal'", " ' Lip_ Kuo-Ming'", " ' Lipkin_ W. I.'", " ' Lipkin_ W. Ian'", " ' Lippincott-Schwartz_ Jennifer'", " ' Liqi_ Zhu'", " ' Little_ Zoë R.'", " ' Liu_ Boping'", " ' Liu_ Chang'", " ' Liu_ Chao'", " ' Liu_ Chia-Jen'", " ' Liu_ Chiu-Yi'", " ' Liu_ D. X.'", " ' Liu_ D.X'", " ' Liu_ Depei'", " ' Liu_ Di'", " ' Liu_ Ding X.'", " ' Liu_ Ding Xiang'", " ' Liu_ Ding Xing'", " ' Liu_ Edison T'", " ' Liu_ Edison T.'", " ' Liu_ Esther Y.M.'", " ' Liu_ Esther YM'", " ' Liu_ Fei'", " ' Liu_ Fu-Tong'", " ' Liu_ Gaoshan'", " ' Liu_ Guang'", " ' Liu_ Guozhen'", " ' Liu_ Hai-Zhou'", " ' Liu_ Hong'", " ' Liu_ Hwan-Wun'", " ' Liu_ Jiangxia'", " ' Liu_ Jin-huan'", " ' Liu_ Jingfang'", " ' Liu_ Jinghua'", " ' Liu_ Junli'", " ' Liu_ Kangtai'", " ' Liu_ Keliang'", " ' Liu_ Levent Shih-Jen'", " ' Liu_ Li'", " ' Liu_ Lixia'", " ' Liu_ Michael T.'", " ' Liu_ Nihong'", " ' Liu_ P. P.'", " ' Liu_ Peimao'", " ' Liu_ Pinghua'", " ' Liu_ Pinghuang'", " ' Liu_ Qi'", " ' Liu_ Qian'", " ' Liu_ Qiyong'", " ' Liu_ Rai-Shung'", " ' Liu_ Ran'", " ' Liu_ Runzhong'", " ' Liu_ Shelan'", " ' Liu_ Shengwang'", " ' Liu_ Shih-Jen'", " ' Liu_ Shuwen'", " ' Liu_ Siqi'", " ' Liu_ W.'", " ' Liu_ Wei'", " ' Liu_ Wen-jun'", " ' Liu_ William J.'", " ' Liu_ Wu-Tse'", " ' Liu_ X.'", " ' Liu_ Xiang'", " ' Liu_ Xiang-Ling'", " ' Liu_ Xin'", " ' Liu_ Xuan'", " ' Liu_ Xue-En'", " ' Liu_ Yali'", " ' Liu_ Yanxin'", " ' Liu_ Yijia'", " ' Liu_ Yin'", " ' Liu_ Ying'", " ' Liu_ Ying-Lan'", " ' Liu_ Yonggang'", " ' Liu_ Yu-Fei'", " ' Liu_ Yueyong'", " ' Liu_ Yunqing'", " ' Liu_ Yuqing'", " ' Liu_ Z. H.'", " ' Llorente_ Mercedes'", " ' Lo_ A W I'", " ' Lo_ A. W. I.'", " ' Lo_ Angus CT'", " ' Lo_ Anthony W.I.'", " ' Lo_ Anthony WI'", " ' Lo_ Chen-Yu'", " ' Lo_ J.'", " ' Lo_ Shih-Yen'", " ' Lo_ Y M Dennis'", " ' Lo_ YMD'", " ' Loa_ Chien C.'", " ' Loa_ Chien Chang'", " ' Loan_ R. W.'", " ' Loeb_ Julia C'", " ' Loeb_ Mark'", " ' Lofgren_ Eric T.'", " ' Lofgren_ Eric'", " ' Logan_ Hillary L.'", " ' Loh_ Chay Boon'", " ' Lohani_ Motashim'", " ' Lohmann_ Dario'", " ' Lokugamage_ Kumari G.'", " ' Lokugamage_ Kumari'", " ' Lomonossoff_ George P.'", " ' Long_ Casey E.'", " ' Long_ Casey'", " ' Long_ H.T.'", " ' Long_ Kristin'", " ' Long_ Philip M'", " ' Long_ Simon Y.'", " ' Longhi_ Sonia'", " ' Look_ A. Thomas'", " ' Look_ Dwight C.'", " ' Look_ Dwight'", " ' Lopez_ Lisa A.'", " ' Lorin_ Valérie'", " ' Lou_ Zhiyong'", " ' Louie_ Lisa'", " ' Lovchik_ Judith'", " ' Low_ Donald E.'", " ' Lowe_ Luis'", " ' Lowther_ Sara A.'", " ' Lowy_ Israel'", " ' Lsaacs_ David'", " ' Lu_ Chengping'", " ' Lu_ Chun-Yi'", " ' Lu_ D.'", " ' Lu_ Guangwen'", " ' Lu_ H.T'", " ' Lu_ Huifang'", " ' Lu_ J.'", " ' Lu_ Kai'", " ' Lu_ Lin'", " ' Lu_ Lin-Yu'", " ' Lu_ Lin‐Yu'", " ' Lu_ Liqun'", " ' Lu_ Lu'", " ' Lu_ Patrick Y'", " ' Lu_ Roujian'", " ' Lu_ Shan'", " ' Lu_ Xiaotao'", " ' Lu_ Xiaoyan'", " ' Lu_ Xinya'", " ' Lu_ Youyong'", " ' Lu_ Yueping'", " ' Lu_ Zhuozhuang'", " ' Lubroth_ Juan'", " ' Ludewig_ Burkhard'", " ' Luetke_ Maya C'", " ' Lugton_ I'", " ' Lui_ G.'", " ' Lui_ Pak-Yin'", " ' Luk_ Geraldine S. M.'", " ' Luk_ Hayes K H'", " ' Luk_ Hayes K. H.'", " ' Luk_ Wei-kwang'", " ' Luk_ Winsie'", " ' Lukashev_ Alexander'", " ' Luke_ Thomas'", " ' Luna_ L.'", " ' Luna_ Maria L.'", " ' Lundkvist_ Åke'", " ' Lunney_ Joan K.'", " ' Luo_ Chuming'", " ' Luo_ Danlin'", " ' Luo_ Hai-bin'", " ' Luo_ Haibin'", " ' Luo_ Hongpeng'", " ' Luo_ Hui-Ming'", " ' Luo_ Min'", " ' Luo_ Ming'", " ' Luo_ Shiwen'", " ' Luo_ Suxian'", " ' Luo_ Xiaomin'", " ' Luo_ Yakun'", " ' Luo_ Yun'", " ' Lussier_ G.'", " ' Lustigman_ Sara'", " ' Lutz_ Hans'", " ' Luvizotto_ M. C. R.'", " ' Luvizotto_ M.C.R.'", " ' Luzuriaga_ Katherine'", " ' Lv_ Jun'", " ' Lv_ Ping'", " ' Lv_ Qi'", " ' Lytvyn_ Viktoria'", " ' Lécine_ Patrick'", " ' López-Causapé_ C.'", " ' MALIK_ R'", " ' MARSH_ H. B.'", " ' MCBROOM_ J.'", " ' MCCALLUM_ H.'", " ' METCALF-KELLY_ M.'", " ' MEULEN_ V. TER'", " ' MIU_ Flora Pui‐Ling'", " ' MONCKTON_ RP'", " ' MORILLA_ F.'", " ' Ma_ C. H.'", " ' Ma_ Cheuk-Wing'", " ' Ma_ Cuiqing'", " ' Ma_ Guangpeng'", " ' Ma_ Huijie'", " ' Ma_ Jing-Yun'", " ' Ma_ Jingyun'", " ' Ma_ Lianhua'", " ' Ma_ Ping'", " ' Ma_ Qingjun'", " ' Ma_ Selene'", " ' Ma_ Shiou-Hwa'", " ' Ma_ Xiaoming'", " ' Ma_ Xuejun'", " ' Ma_ Yanlin'", " ' Ma_ Yuanmei'", " ' Maag_ Trisha R'", " ' MacInnes_ J. I.'", " ' MacNamara_ Katherine C.'", " ' Macary_ P.A.'", " ' Macdonald_ Andrew'", " ' Machamer_ Carolyn E.'", " ' Machii_ Kenji'", " ' Mack_ Matthias'", " ' Mackay_ Ian M.'", " ' Mackenzie_ Jason M.'", " ' Mackman_ Richard L.'", " ' Macnaughton_ M. R.'", " ' Macnaughton_ Malcolm R.'", " ' Macnaughton_ Thomas B.'", " ' Madani_ Hossam'", " ' Madani_ Tariq A.'", " ' Madhugiri_ Ramakanth'", " ' Madu_ Ikenna'", " ' Maeda_ Akihiko'", " ' Maejima_ Masami'", " ' Maes_ Piet'", " ' Maganga_ Gael Darren'", " ' Maheswari_ Uma'", " ' Mahony_ James'", " ' Mai_ Kai-Jie'", " ' Maier_ Helena J'", " ' Maier_ Helena J.'", " ' Maier_ Helena Jane'", " ' Maier_ Reinhard'", " ' Mailles_ Alexandra'", " ' Majer_ Susanne'", " ' Majumder_ Maimuna S.'", " ' Mak_ S-M'", " ' Mak_ William'", " ' Makhdoom_ Hatem Q'", " ' Makhdoom_ Hatem Q.'", " ' Makhdoom_ Hatem'", " ' Making_ Shinji'", " ' Makino_ Shinji'", " ' Makonnen_ Yilma Jobre'", " ' Malczyk_ Anna H.'", " ' Malecki_ Monika'", " ' Malek_ Natalia'", " ' Malik Peiris_ J. S.'", " ' Malkovsky_ Miroslav'", " ' Malykhina_ Anna P.'", " ' Man Poon_ Leo Lit'", " ' Mani_ Shailendra'", " ' Manifava_ Maria'", " ' Mann_ Matthias'", " ' Manolaridis_ Ioannis'", " ' Manopo_ Ivanus'", " ' Mansfield_ Keith'", " ' Mansoor_ Muhammad Khalid'", " ' Manuguerra_ Jean-Claude'", " ' Manzel_ Lori'", " ' Manzer_ Rizwan'", " ' Mao_ Hui Juan'", " ' Mao_ N. Y.'", " ' Marasco_ Wayne A'", " ' Marasco_ Wayne A.'", " ' Marceau_ Gabriel'", " ' Marchi_ Antonietta'", " ' Marcos_ Ma Ángeles'", " ' Marfo_ Kwadwo Sarfo'", " ' Margolis_ Benjamin'", " ' Mari_ V.'", " ' Mari_ Viviana'", " ' Marissen_ Wilfred E.'", " ' Mark_ Brian L.'", " ' Marquez-Jurado_ Silvia'", " ' Marro_ Brett S.'", " ' Marschner_ Susanne'", " ' Martella_ V'", " ' Martella_ V.'", " ' Martella_ Vito'", " ' Martellaro_ Cynthia'", " ' Martelli_ Paolo'", " ' Martens_ Anton C.'", " ' Martina_ Byron E'", " ' Martina_ Byron E. E.'", " ' Martina_ Byron E.'", " ' Martina_ Byron EE'", " ' Martinez-Sobrido_ Luis'", " ' Martínez-Sobrido_ Luis'", " ' Martínez_ Ana I'", " ' Martínez_ Miguel J'", " ' Marzi_ Andrea'", " ' Marzoug_ Bahaaeldin A.'", " ' Marzoug_ Bahaaeldin'", " ' Masangkay_ Joseph S.'", " ' Mascola_ John R.'", " ' Mason_ Robert J.'", " ' Mason_ Rosemarie D.'", " ' Massa_ Paul T.'", " ' Masters_ Paul S'", " ' Masters_ Paul S.'", " ' Masud_ Faryal'", " ' Masuda_ Takao'", " ' Mateos-Gomez_ Pedro A'", " ' Mateos-Gomez_ Pedro A.'", " ' Mateos-Gómez_ Pedro A.'", " ' Mathan_ M.'", " ' Mathan_ V. I.'", " ' Mathieson_ Peter W.'", " ' Mathieu_ Daniel'", " ' Mathijs_ E.'", " ' Matikainen_ Sampsa'", " ' Matrosovich_ Mikhail'", " ' Matsuda_ Zene'", " ' Matsumoto_ Mitsuharu'", " ' Matsuoka-Kobayashi_ Yukie'", " ' Matsuoka_ Masafumi'", " ' Matsuoka_ Masao'", " ' Matsuoka_ Yusuke'", " ' Matsuura_ Yoshiharu'", " ' Matsuyama_ Shutoku'", " ' Matthews_ Krystal L.'", " ' Matthews_ Krystal'", " ' Matthews_ Leslie J.'", " ' Matumoto_ M.'", " ' Matzke_ Melissa M.'", " ' Matzke_ Melissa'", " ' Mawditt_ Karen L.'", " ' Mayrhofer_ Josef'", " ' Mazet_ J. A. K.'", " ' Mazur_ Steven'", " ' Mazzulli_ Tony'", " ' Mbabazi_ R.'", " ' Mc Lai_ Michael'", " ' McAnarney_ Eileen T.'", " ' McAuliffe_ Josephine'", " ' McBride_ Ryan'", " ' McCann_ Robert M.'", " ' McClenahan_ Shasta'", " ' McCrae_ Malcolm'", " ' McCray_ Paul B.'", " ' McCrory_ Sarah'", " ' McDowell_ Chester'", " ' McEachern_ Jennifer'", " ' McElroy_ Lisa J.'", " ' McGeehan_ Elizabeth'", " ' McGeer_ Allison'", " ' McGilvray_ Ian'", " ' McGoldrick_ Adrian'", " ' McKerrow_ James H.'", " ' McKinley_ E. T.'", " ' McLellan_ Jason S.'", " ' McOrist_ Steven'", " ' McQuillin_ Joyce'", " ' McWeeney_ Shannon'", " ' Meade-White_ Kimberly'", " ' Meanwell_ Nicholas A.'", " ' Medvedec_ Sue'", " ' Meers_ J.'", " ' Meessen-Pinard_ Mathieu'", " ' Mehl_ R.'", " ' Mehta_ Anand'", " ' Mei_ Feng'", " ' Mei_ Ya-bo'", " ' Meigel_ W.'", " ' Meijers_ Rob'", " ' Meli_ Marina L.'", " ' Meloen_ Rob H.'", " ' Melén_ Krister'", " ' Memish_ Ziad A'", " ' Memish_ Ziad A.'", " ' Menachery_ V. D.'", " ' Menachery_ Vineet D.'", " ' Mendoza_ Joaquín'", " ' Meng_ Bing'", " ' Meng_ Guangpeng'", " ' Meng_ Li'", " ' Meng_ Qingwen'", " ' Merlat_ Annabelle'", " ' Meschievitz_ Carlton K.'", " ' Mesecar_ Andrew D.'", " ' Mesecar_ Andrew'", " ' Mesters_ Jeroen R.'", " ' Mettelman_ Robert C.'", " ' Metz_ Thomas O.'", " ' Meuleman_ Tom J.'", " ' Meulen_ Volker Ter'", " ' Meyer_ Benjamin'", " ' Meyerholz_ David K'", " ' Meyerholz_ David K.'", " ' Meyerholz_ David'", " ' Mi_ Li'", " ' Mi_ Zhi-Qiang'", " ' Miao_ Congrong'", " ' Miazgowicz_ Kerri L.'", " ' Michaelis_ M.'", " ' Michaelis_ Martin'", " ' Midgley_ Claire M.'", " ' Mielech_ Anna M.'", " ' Milewska_ Aleksandra'", " ' Miller_ Lance D.'", " ' Miller_ Lilija'", " ' Miller_ Mark A.'", " ' Miller_ Maureen'", " ' Miller_ Timothy B.'", " ' Millership_ Jason J.'", " ' Millet_ Jean K.'", " ' Millet_ Jean'", " ' Milligan_ Gregg'", " ' Milligan_ Ronald A.'", " ' Milne-Price_ Shauna'", " ' Min_ Chan-Ki'", " ' Min_ Jaeki'", " ' Min_ Ji-Young'", " ' Min_ Kyoungsub'", " ' Minekawa_ Harumi'", " ' Ming_ Zhenhua'", " ' Mingo_ Rebecca M.'", " ' Minskaia_ Ekaterina'", " ' Mirazimi_ Ali'", " ' Mishra_ Nischay'", " ' Mishra_ Rabi N.'", " ' Mishra_ Vinod'", " ' Misra_ Vikram'", " ' Mitchell_ Hugh D.'", " ' Miura_ Tanya A.'", " ' Miura_ Y.'", " ' Miyake_ Kazushige'", " ' Miyamoto_ Kaoru'", " ' Miyoshi-Akiyama_ Tohru'", " ' Mizutani_ Tetsuya'", " ' Mocega_ Hilda E.'", " ' Mochizuki_ Masami'", " ' Modjarrad_ Kayvon'", " ' Mohamed_ N.'", " ' Mohammed_ Mutaz'", " ' Mohammed_ Osama B.'", " ' Mohareb_ Emad'", " ' Mohd_ Hair Bejo'", " ' Mokhtaria_ Kouidri'", " ' Molenkamp_ Richard'", " ' Moll_ Ralf'", " ' Molland_ Katrina L.'", " ' Mommaas_ A. Mieke'", " ' Monastyrska_ Iryna'", " ' Monckton_ Robert P.'", " ' Monger_ Wendy'", " ' Montalto-Morrison_ Cynthia'", " ' Monteil_ Vanessa\\xa0M.'", " ' Montgomery_ Joel M.'", " ' Moon_ J.M.'", " ' Moore_ Ian N.'", " ' Moore_ Michael J'", " ' Moore_ Michael J.'", " ' Moore_ Steven'", " ' Morales_ Lucia'", " ' Morales_ Maria-Luisa'", " ' Moreau_ Dimitri'", " ' Morelli_ Xavier'", " ' Moreno_ Jose L.'", " ' Moreno_ José L.'", " ' Moreno_ Miguel R.'", " ' Morey_ F.'", " ' Morey_ Fran'", " ' Morgenstern_ B'", " ' Morgenstern_ B.'", " ' Mori_ Miki'", " ' Morikawa_ Shigeru'", " ' Morimoto_ Chikao'", " ' Morisaki_ Masateru'", " ' Morisawa_ Aki'", " ' Morita_ Ikuo'", " ' Morita_ Kouichi'", " ' Morita_ Yoshinori'", " ' Morris_ Vincent L.'", " ' Morrison_ Thomas E.'", " ' Morrow_ Matthew'", " ' Morzaria_ Subhash'", " ' Moshynskyy_ Igor'", " ' Moss_ Bernard'", " ' Mossel_ Eric C.'", " ' Mottola_ G.'", " ' Mou_ Huihui'", " ' Moulton_ Hong M.'", " ' Mounir_ Samir'", " ' Mourez_ Thomas'", " ' Mousavi-Jazi_ Mehrdad'", " ' Moving_ V.'", " ' Moy_ Kin'", " ' Moës_ Elien'", " ' Muench_ Marcus O.'", " ' Mufson_ Maurice A.'", " ' Mulhearn_ Debbie C.'", " ' Mulla_ Mariam Al'", " ' Mun_ Mi Ran'", " ' Munday_ Diane'", " ' Mundt_ Egbert'", " ' Munjal_ Havisha'", " ' Munster_ Vincent J.'", " ' Murakami_ Akikazu'", " ' Murakami_ T.'", " ' Murithi_ Rees'", " ' Murphy_ Brian R'", " ' Murphy_ Brian R.'", " ' Murphy_ Brian'", " ' Murray_ Ronald S.'", " ' Musa_ Bakri E.'", " ' Musleh_ Samir'", " ' Muth_ Doreen'", " ' Muñoz_ José'", " ' Muñoz_ M.'", " ' Myers_ Richard'", " ' Márquez-Jurado_ Silvia'", " ' Ménard_ Robert'", " ' Méndez_ Ana'", " ' Möller_ Peggy'", " ' Möstl_ Karin'", " ' Mørk_ Irene'", " ' Mühlberger_ Elke'", " ' Mühlebach_ Michael D.'", " ' Müller_ Andreas'", " ' Müller_ G.'", " ' Müller_ M. A.'", " ' Müller_ Marcel A'", " ' Müller_ Marcel A.'", " ' Müller_ Marcel Alexander'", " ' Müller_ Mathias'", " ' Müller_ Thomas H.'", " ' NORRIS_ JM'", " ' Nabel_ Gary J.'", " ' Naeem_ Muhammad Ahsan'", " ' Nagata_ Noriyo'", " ' Nagel_ Juliet'", " ' Nagesha_ Hadya S.'", " ' Nakagaki_ Kazuhide'", " ' Nakagaki_ Keiko'", " ' Nakagawa_ Keisuke'", " ' Nakahama_ Ken-ichi'", " ' Nakamura_ Ichiro'", " ' Nakamura_ Kazuya'", " ' Nal_ B.'", " ' Nal_ Beatrice'", " ' Nal_ Béatrice'", " ' Nam_ Jeong-Gu'", " ' Narasaraju_ T.'", " ' Narayanan_ Krishna'", " ' Nauwynck_ Hans'", " ' Navarrete-Macias_ I.'", " ' Navas-Martin_ Sonia'", " ' Navis_ GJ'", " ' Nehlmeier_ Inga'", " ' Nellessen_ Cordula'", " ' Nelson_ Elizabeth A.'", " ' Nelson_ Gary W.'", " ' Nelson_ Mike'", " ' Nelson_ Peter T.'", " ' Netland_ Jason'", " ' Neuhaus_ Elizabeth'", " ' Neuman_ Benjamin W.'", " ' Neveu_ Grégory'", " ' Newman_ Diane K.'", " ' Newman_ Patrick'", " ' Neyts_ Johan'", " ' Ng_ Albert'", " ' Ng_ B. C. Y.'", " ' Ng_ Beng Sern'", " ' Ng_ Bernard'", " ' Ng_ Bryan CY'", " ' Ng_ EKO'", " ' Ng_ Erica M.'", " ' Ng_ Fai'", " ' Ng_ H-K'", " ' Ng_ H.K.'", " ' Ng_ HK'", " ' Ng_ Hoi Y'", " ' Ng_ Hoi Yee'", " ' Ng_ Ho‐Keung'", " ' Ng_ Iris H. Y.'", " ' Ng_ Iris'", " ' Ng_ JSC'", " ' Ng_ Joice Na Lee'", " ' Ng_ K-C'", " ' Ng_ Kai-On'", " ' Ng_ Lean‐Teik'", " ' Ng_ Lee-Ching'", " ' Ng_ Lifang'", " ' Ng_ Lisa FP'", " ' Ng_ M. H.'", " ' Ng_ Mah Lee'", " ' Ng_ Ming-Him James'", " ' Ng_ Oi-Wing'", " ' Ng_ Pak Cheung'", " ' Ng_ Patrick'", " ' Ng_ T.K.'", " ' Ng_ TK'", " ' Ng_ Tony K. C.'", " ' Ng_ WL'", " ' Ng_ Wooi Loon'", " ' Ngai_ Sai-Ming'", " ' Ngai_ Sai‐Ming'", " ' Ngan_ Hextan Y S'", " ' Nguyen_ Justin'", " ' Nguyen_ Van Dao'", " ' Ni_ Jing'", " ' Niccolai_ Neri'", " ' Nichol_ Kristin L.'", " ' Nichol_ Stuart T.'", " ' Nicholls_ J'", " ' Nicholls_ J. M.'", " ' Nicholls_ John M'", " ' Nicholls_ John M.'", " ' Nichols_ Daniel B.'", " ' Nicolier_ A.'", " ' Nie_ Kai'", " ' Nie_ Yuchun'", " ' Niedrig_ M.'", " ' Niedrig_ Matthias'", " ' Nielsen_ P. R.'", " ' Niemann_ Heiner'", " ' Niemeyer_ Berend'", " ' Niemeyer_ Daniela'", " ' Niesters_ H.G.M.'", " ' Niesters_ Hubert G.M.'", " ' Nieto-Torres_ Jose L.'", " ' Niezgoda_ Michael'", " ' Ninaber_ Dennis K.'", " ' Ninet_ Beatrice'", " ' Nishigaki_ Kazuo'", " ' Nishii_ Wataru'", " ' Nishikawa_ Hiroki'", " ' Nishinaka_ Takamichi'", " ' Nishitsuji_ Hironori'", " ' Nissen_ Michael D.'", " ' Nitsche_ A.'", " ' Niu_ Jinkui'", " ' Niwa_ Hidekazu'", " ' Nixon_ Kimberley S.'", " ' Njenga_ M. Kariuki'", " ' Nkrumah_ Evans Ewald'", " ' Nogales_ Aitor'", " ' Nogueira_ Meri B.'", " ' Noh_ J. Y.'", " ' Nolte_ Frederick S.'", " ' Nomura_ R'", " ' Nomura_ Risa'", " ' Nooh_ Randa'", " ' Nordhausen_ Robert W.'", " ' Normann_ P.'", " ' Norton_ Jason E.'", " ' Norén'", " ' Norén_ Ove'", " ' Notomi_ Tsugunori'", " ' Nowak_ Paulina'", " ' Nowotny_ Norbert'", " ' Noël_ Henri'", " ' Nsour_ Mohannad Al'", " ' Ntafis_ Vasileios'", " ' Nunneley_ Jerritt W.'", " ' Nurizzo_ Didier'", " ' Nwanegbo_ Edward'", " ' Nyalapatla_ Prasanth R.'", " ' ORLOVSKY_ YEVGENIYA I.'", " ' Ochman_ Marek'", " ' Odagiri_ Takato'", " ' Ogunkoya_ Albert B.'", " ' Oh_ Hsueh-Ling Janice'", " ' Oh_ Jong-Won'", " ' Oh_ Myoung-don'", " ' Ohe_ Yoshihide'", " ' Ohnishi_ Kazuo'", " ' Ohshima_ Masamichi'", " ' Ohta_ Masashi'", " ' Ohtsuki_ Takahiro'", " ' Ojkic_ Davor'", " ' Okada_ Masahisa'", " ' Okamura_ Tadashi'", " ' Okba_ Nisreen M. A.'", " ' Oko_ Lauren'", " ' Okumura_ Atsushi'", " ' Oladipo_ Jamiu O'", " ' Olinger_ Gene G.'", " ' Olivares_ Heidi'", " ' Oliver_ Jennifer Betts'", " ' Oliver_ S'", " ' Olsen-Rasmussen_ Melissa'", " ' Olsen_ John C.'", " ' Olsen_ Sonja J.'", " ' Olson_ Ann L.'", " ' Olson_ Ann Louise'", " ' Olson_ C. Anders'", " ' Olson_ Melanie'", " ' Olsthoorn_ René C.L.'", " ' Oludayo_ Fasina Folorunso'", " ' Olurinde_ Mobolaji'", " ' Omar_ Haneen'", " ' Omori_ T.'", " ' Omrani_ Ali S.'", " ' Omrani_ Ali Senosi'", " ' Omura_ Tatsuo'", " ' Onderwater_ Jos J. M.'", " ' Ong_ Benjamin K.'", " ' Ong_ Chun Hao'", " ' Ong_ Swee Hoe'", " ' Ono_ K.'", " ' Ooi_ Amy'", " ' Ooi_ E.E.'", " ' Ooi_ Eng E.'", " ' Ooi_ Eng Eong'", " ' Ooi_ Eng-Eong'", " ' Oon_ L L E'", " ' Oppong_ Samuel'", " ' Orba_ Yasuko'", " ' Orca_ Gretchen'", " ' Origoni_ Andrea E.'", " ' Ork_ Britini L.'", " ' Ork_ Britini'", " ' Orr_ Melissa'", " ' Ortego_ Javier'", " ' Ortiz_ Ernesto'", " ' Osinubi_ Modupe O. V.'", " ' Osoro_ Eric'", " ' Osswald_ Heather L.'", " ' Osterhaus_ A.D.M.E.'", " ' Osterhaus_ Albert D M E'", " ' Osterhaus_ Albert D. M. E.'", " ' Osterhaus_ Albert D.M.E.'", " ' Osterhaus_ Albert DME'", " ' Osterhaus_ Albert'", " ' Osterrieder_ Nikolaus'", " ' Osuna_ Antonio'", " ' Osyetrov_ Valeriy'", " ' Otaka_ Akira'", " ' Ou_ Guo-Rong'", " ' Ou_ Hong-Yu'", " ' Oue_ Yasuhiro'", " ' Ouellet_ France'", " ' Ouwendijk_ Werner J. D.'", " ' Owczarek_ Katarzyna'", " ' Owusu_ Michael'", " ' Owusu‐Dabo_ Ellis'", " ' Oyama_ Yuu'", " ' Ozdarendeli_ Aykut'", " ' O’Brien_ Amornrat'", " ' O’Connor_ Theresa Z.'", " ' O’Reilly_ K. L.'", " ' PARROTT_ ROBERT H.'", " ' PEEL_ A. J.'", " ' PEI_ Gang'", " ' PENSAERT_ M.B.'", " ' PETLEY_ TED D.'", " ' PLOWRIGHT_ R. K.'", " ' POON_ Edwin'", " ' POSS_ D. E.'", " ' PREVEC_ LUDVIK'", " ' Pache_ Jean-Claude'", " ' Packard_ Michelle M.'", " ' Packard_ Michelle'", " ' Paddock_ Christopher D.'", " ' Paden_ Clinton R.'", " ' Padhan_ Kartika'", " ' Pagani_ L.'", " ' Page_ Carly'", " ' Page_ Kevin W.'", " ' Page_ Rebecca'", " ' Pagedar_ Nitin'", " ' Palacio_ Lorena'", " ' Palese_ Peter'", " ' Palissa_ Christiane'", " ' Pallansch_ Mark A.'", " ' Pallansch_ Mark'", " ' Pallares_ Pilar'", " ' Pallesen_ Jesper'", " ' Palm_ Gottfried J.'", " ' Palmieri_ Alessandra'", " ' Palser_ Anne L'", " ' Palser_ Anne L.'", " ' Paltrinieri_ S.'", " ' Pan_ Chun-Ming'", " ' Pan_ Hai-Yan'", " ' Pan_ Ruangang'", " ' Pan_ S. D.'", " ' Pan_ Ting'", " ' Pan_ Wei'", " ' Pan_ Xiao-Qing'", " ' Pan_ Yu-xian'", " ' Pang_ Xue-Wen'", " ' Panning_ Marcus'", " ' Pannuti_ Cláudio Sérgio'", " ' Papageorgiou_ Nicolas'", " ' Papaioannou_ Nikolaos'", " ' Papanastassopoulou_ Maria'", " ' Paquette_ Jean‐Sébastien'", " ' Paragas_ Jason'", " ' Paranhos-Baccalà_ Glaucia'", " ' Parida_ Manmohan'", " ' Park_ Bong-Kyun'", " ' Park_ Elizabeth'", " ' Park_ Jee-Yong'", " ' Park_ Ji Hoon'", " ' Park_ Jong-Tae'", " ' Park_ Jun-Sun'", " ' Park_ Jung Wan'", " ' Park_ Jung-Eun'", " ' Park_ S. I.'", " ' Park_ Sang-Ilk'", " ' Park_ Su-Jin'", " ' Park_ Sung-Hee'", " ' Park_ SungHan'", " ' Park_ Yong-Ha'", " ' Park_ Yong-Shik'", " ' Parker_ Michael D.'", " ' Parker_ Monica M.'", " ' Parquet_ Maria del Carmen'", " ' Parra_ Beatriz'", " ' Parthasarathy_ Krupakar'", " ' Parwani_ A. V.'", " ' Pascual-Iglesias_ Alejandro'", " ' Pasquarella_ Joseph R.'", " ' Passarani_ Nilda'", " ' Passos_ Ana Maria'", " ' Patel_ Ami'", " ' Patel_ Kavankumar'", " ' Patel_ Pranav'", " ' Paterson_ A. H.'", " ' Paton_ D.J.'", " ' Patton_ Chris D.'", " ' Paturzo_ F. X.'", " ' Paul_ Lake N.'", " ' Paulson_ James C.'", " ' Pavletic_ Steven'", " ' Payan_ Christopher'", " ' Payne_ Daniel C.'", " ' Peck_ Kayla M.'", " ' Pedersen_ Niels C.'", " ' Pedotti_ Mattia'", " ' Pedrini_ Bill'", " ' Peek_ Christopher T.'", " ' Peersen_ Olve B.'", " ' Pegan_ Scott D.'", " ' Pei_ Decui'", " ' Pei_ Guang-Qian'", " ' Peiris_ J S Malik'", " ' Peiris_ J. S. M.'", " ' Peiris_ J. S. Malik'", " ' Peiris_ J.S. Malik'", " ' Peiris_ J.S.M'", " ' Peiris_ JSM'", " ' Peiris_ Joseph S M'", " ' Peiris_ Joseph S. M.'", " ' Peiris_ Joseph S.M.'", " ' Peiris_ Joseph Sriyal Malik'", " ' Peiris_ M.'", " ' Peiris_ Malik'", " ' Pekosz_ Andrew'", " ' Pelletier_ Jerry'", " ' Penaud_ M.'", " ' Peng_ Bi-Hung'", " ' Peng_ Cheng'", " ' Peng_ Chung‐Min'", " ' Peng_ Guiqing'", " ' Peng_ Guoai'", " ' Peng_ Hui'", " ' Peng_ Jing-Pian'", " ' Peng_ Shiwen'", " ' Peng_ Tao'", " ' Peng_ Wenjie'", " ' Peng_ Wenming'", " ' Peng_ Xia'", " ' Peng_ Xingwen'", " ' Peng_ Yu'", " ' Penninger_ J. M.'", " ' Penninger_ Josef M'", " ' Pensaert_ M. B.'", " ' Pensaert_ M.B.'", " ' Pensaert_ Maurice'", " ' Penttinen_ P.'", " ' Percivalle_ Elena'", " ' Percy_ Dean H.'", " ' Pereira_ N.A.'", " ' Perera_ R. A. P. M.'", " ' Perera_ Ranawaka A'", " ' Perera_ Ranawaka A. P. M.'", " ' Perera_ Ranawaka APM'", " ' Perez_ Omar'", " ' Perl_ Trish M.'", " ' Perlman_ Stanley'", " ' Perpiñán_ D.'", " ' Perret_ Magali'", " ' Perrin_ Yolande'", " ' Perrone_ Lucy'", " ' Pessi_ Antonello'", " ' Petcharat_ Sininat'", " ' Peters_ C. J.'", " ' Peters_ Clarence J.'", " ' Petitjean_ Joëlle'", " ' Petrich_ Astrid'", " ' Petrocelli_ A.'", " ' Petrosov_ A.'", " ' Petrosov_ Alexandra'", " ' Petrovsky_ Nikolai'", " ' Pewe_ Lecia L.'", " ' Pewe_ Lecia'", " ' Pfaender_ Stephanie'", " ' Pfefferle_ Susanne'", " ' Pfeiffer_ N. E.'", " ' Pfleiderer_ Michael'", " ' Phi_ N.C.'", " ' Philipp_ Hans-Christian'", " ' Philipps_ Heike'", " ' Phillips_ Jim'", " ' Phillips_ Joanna J'", " ' Phillips_ Joanna J.'", " ' Phillips_ Judith M.'", " ' Phoon_ M.C.'", " ' Phuong_ V. N.'", " ' Picard_ B.'", " ' Picard_ Bertrand'", " ' Pichlmair_ Andreas'", " ' Pickles_ Raymond J.'", " ' Pickles_ Raymond'", " ' Piefer_ Andrew J.'", " ' Pietzonka_ Sandra'", " ' Pijlman_ Gorben P.'", " ' Pike_ Steven L.'", " ' Pileri_ Piero'", " ' Pillatzki_ Angela'", " ' Pinazo_ Maria Jesús'", " ' Ping_ Xianqiang'", " ' Pinon_ Josefina D'", " ' Piotrowski_ Yvonne'", " ' Pistello_ Mauro'", " ' Pitkäranta_ Anne'", " ' Pittayawonganon_ Chakrarat'", " ' Plana_ Juan'", " ' Plana‐Durán_ Joan'", " ' Plant_ Ewan P.'", " ' Pleschka_ Stephan'", " ' Plummer_ Frank'", " ' Png_ Kim J.'", " ' Podsiad_ Amy B'", " ' Poissy_ Julien'", " ' Poland_ Amy'", " ' Poli_ G.'", " ' Poli_ Guido'", " ' Polo_ John M.'", " ' Ponnusamy_ Rajesh'", " ' Ponpinit_ Teerada'", " ' Pontones_ Pam'", " ' Poo_ Haryoung'", " ' Poon_ L. L. M.'", " ' Poon_ LLM'", " ' Poon_ Leo L M'", " ' Poon_ Leo L. M.'", " ' Poon_ Leo L.M.'", " ' Poon_ Leo LM'", " ' Poon_ Rosana W. S.'", " ' Poon_ Vincent K. M.'", " ' Poon_ Vincent KM'", " ' Poon_ Vincent Kwok-Man'", " ' Popov_ Vsevolod L.'", " ' Popov_ Vsevolod'", " ' Porter_ E.'", " ' Portmann_ Jasmine'", " ' Postel_ Sandra'", " ' Posthuma_ Clara C.'", " ' Posthumus_ Willem P.A.'", " ' Postnikova_ Elena'", " ' Potempa_ Jan'", " ' Potter_ Simon J.'", " ' Potts_ Barbara J.'", " ' Poutanen_ S. M.'", " ' Poutanen_ Susan M.'", " ' Pouzol_ Stéphane'", " ' Prabakaran_ Ponraj'", " ' Prabhakar_ Bellur S.'", " ' Prasad_ B. V. Venkataram'", " ' Pratelli_ A.'", " ' Pratelli_ Annamaria'", " ' Preiser_ W.'", " ' Preiser_ Wolfgang'", " ' Prentice_ Erik'", " ' Price_ Connie S.'", " ' Price_ Lance'", " ' Principi_ Nicola'", " ' Pringle_ Kimberly'", " ' Prins_ Henk‐Jan'", " ' Proll_ Sean'", " ' Protzer_ Ulrike'", " ' Provacia_ Lisette B.'", " ' Prüfer_ Steffen'", " ' Pu_ Yinghui'", " ' Puig_ P.'", " ' Puntambekar_ Shweta'", " ' Purdy_ C. W.'", " ' Putti_ Thomas'", " ' Pyrc_ Krzysztof'", " ' Pénzes_ Zoltan'", " ' Pérez Breña_ Pilar'", " ' Pérez-Berná_ Ana J.'", " ' Pöhlmann_ Stefan'", " ' Qi_ Gao'", " ' Qi_ Hai-Yan'", " ' Qi_ Hongtao'", " ' Qi_ Jianxun'", " ' Qi_ Qianqian'", " ' Qi_ Xiaobao'", " ' Qi_ Yifei'", " ' Qi_ Yonghe'", " ' Qian_ Airong'", " ' Qian_ Xiaohong'", " ' Qian_ Yang'", " ' Qian_ Zhaohui'", " ' Qian_ Zhikang'", " ' Qin_ Chuan'", " ' Qin_ Ede'", " ' Qin_ E’de'", " ' Qin_ Kun'", " ' Qin_ Lan'", " ' Qin_ Lili'", " ' Qin_ Peng-Zhe'", " ' Qin_ Xuan'", " ' Qinghua_ Yu'", " ' Qiu_ Hongjie'", " ' Qiu_ Li-wen'", " ' Qiu_ Liwen'", " ' Qiu_ Maofeng'", " ' Qiu_ Shihong'", " ' Qiu_ Su'", " ' Qiu_ Yao-Hui'", " ' Qiu_ Zhaozhu'", " ' Qu_ Di'", " ' Qu_ Jianguo'", " ' Qu_ Xiuxia'", " ' Queen_ Krista'", " ' Queralt-Martín_ Maria'", " ' Quevedo_ M.'", " ' Quigley_ J.D.'", " ' Quinton_ J. F.'", " ' Quispe_ Joel D.'", " ' Qureshi_ Muhammad Asif'", " ' Qushmaq_ Ismael'", " ' Qutob_ Mohammed'", " ' Quy_ T.'", " ' RIFFAULT_ SABINE'", " ' Raabe_ T.'", " ' Raaben_ Matthijs'", " ' Rabenau_ H'", " ' Rabenau_ H. F.'", " ' Rabenau_ Holger'", " ' Raboni_ Sonia M.'", " ' Rahmadani_ Ibnu'", " ' Rainer_ T. H.'", " ' Raj_ V Stalin'", " ' Raj_ V. S.'", " ' Raj_ V. Stalin'", " ' Rajashankar_ Kanagalaghatta R.'", " ' Rajfur_ Zenon'", " ' Rajoharison_ Alain'", " ' Ramakrishna_ Chandran'", " ' Rambaut_ Andrew'", " ' Ramirez_ Sydney I.'", " ' Ramis_ A.'", " ' Rancurel_ Corinne'", " ' Randell_ S. H.'", " ' Randell_ Scott H.'", " ' Rankin_ Amy J.'", " ' Ransohoff_ Richard M.'", " ' Rao_ Kalapala Venkateswara'", " ' Rao_ Shuan'", " ' Rao_ Zihe'", " ' Rapin_ Noreen'", " ' Rappuoli_ Rino'", " ' Rasche_ Andrea'", " ' Rasis_ Michal'", " ' Rasmussen_ Angela L.'", " ' Rasmussen_ T. B.'", " ' Rassart_ Eric'", " ' Rasschaert_ Denis'", " ' Ratia_ Kiira'", " ' Rausch_ Joshua M.'", " ' Raviprakash_ Kanakatte'", " ' Ray_ Adrian S.'", " ' Read_ AJ'", " ' Reaves_ Erik J.'", " ' Reddy_ Malireddy K.'", " ' Redha_ Benia Ahmed'", " ' Reed_ Carol J.'", " ' Reed_ Mark L.'", " ' Reed_ Sharon L.'", " ' Reed_ Sylvia E.'", " ' Reeves_ Jacqueline D.'", " ' Reggiori_ Fulvio'", " ' Regla-Nava_ Jose A.'", " ' Reichenberg_ Stefan'", " ' Reid_ K. B. M.'", " ' Reinacher_ M'", " ' Reinacher_ M.'", " ' Rejas_ María Teresa'", " ' Ren_ Ee Chee'", " ' Ren_ Ee-Chee'", " ' Ren_ Furong'", " ' Ren_ Hongguang'", " ' Ren_ Junyuan'", " ' Ren_ Lili'", " ' Ren_ Tao'", " ' Ren_ Xianwen'", " ' Ren_ Xiaofeng'", " ' Ren_ Yajin'", " ' Ren_ Yu-Qi'", " ' Rennekamp_ Andrew J.'", " ' Renslo_ Adam R.'", " ' Renukaradhya_ Gourapura J.'", " ' Restle_ Tobias'", " ' Reuschel_ Emma L.'", " ' Reusken_ C. B. E. M.'", " ' Reusken_ Chantal B E M'", " ' Reusken_ Chantal B. E. M.'", " ' Rey_ Felix A.'", " ' Rey_ Félix A.'", " ' Reynolds_ D. J.'", " ' Reynolds_ Mary'", " ' Reznikov_ Leah R.'", " ' Rha_ Brian'", " ' Ribeiro_ Juliane'", " ' Rice_ Amy B.'", " ' Richards_ Leigh Rosanne'", " ' Richards_ Shawn'", " ' Richardson_ Christopher D.'", " ' Richardson_ Kay L'", " ' Richardson_ Susan'", " ' Richmond_ Todd A.'", " ' Richt_ Juergen A.'", " ' Richtzenhain_ L. J.'", " ' Richtzenhain_ Leonardo José'", " ' Ridenour_ Jared'", " ' Rieger_ Juliane'", " ' Riethmüller_ G.'", " ' Riffle_ Ambere J.'", " ' Rihito_ Watanabe'", " ' Rijke_ E.'", " ' Rijs_ Kevin'", " ' Riley_ Steven'", " ' Rimmelzwaan_ Guus F'", " ' Rimmer_ Ryan A.'", " ' Rinaldo_ Charles'", " ' Riou_ Julien'", " ' Riquelme_ Cristina'", " ' Risco_ Cristina'", " ' Ritchie_ Mark A.'", " ' Ritz_ Daniel'", " ' Rivers_ Bryan'", " ' Rivers_ Caitlin'", " ' Robbins_ Paul D'", " ' Roberton_ Scott'", " ' Roberts_ Anjeanette'", " ' Roberts_ Rhonda S.'", " ' Roberts_ Richard W.'", " ' Robertson_ J. S.'", " ' Robertson_ Shelly'", " ' Robinson_ Joan L.'", " ' Rochat_ Sylvie'", " ' Rochat_ Thierry'", " ' Rockx_ Barry'", " ' Roden_ Richard'", " ' Rodgers_ Mark A.'", " ' Rodpan_ Apaporn'", " ' Rodriguez-Valero_ Natalia'", " ' Rodriquez-Barraquer_ Isabel'", " ' Roger_ François'", " ' Rognoni_ Alessandro'", " ' Rohrlich_ Pierre-Simon'", " ' Roingeard_ Philippe'", " ' Roitburd-Berman_ Anna'", " ' Rojas_ Almudena'", " ' Rojas_ Jose'", " ' Rojo-Molinero_ E.'", " ' Rollins_ Barrett J.'", " ' Romero_ Candice'", " ' Romero_ E.'", " ' Romero_ Pedro'", " ' Rondanelli_ Elio G.'", " ' Rong_ J. G.'", " ' Rood_ Pauline M. L.'", " ' Rosa_ A. C. G.'", " ' Rosales_ C. A. R.'", " ' Rose_ Kristine M.'", " ' Rose_ Laura E.'", " ' Rose_ Nicolas'", " ' Rosenzweig_ Elizabeth'", " ' Rossen_ John W. A.'", " ' Rossini_ S.'", " ' Rota_ Paul A.'", " ' Roth_ Shoshannah L.'", " ' Roth_ W. Kurt'", " ' Rott_ R.'", " ' Rottier_ P. J. M.'", " ' Rottier_ Peter J. M.'", " ' Rottier_ Peter J.'", " ' Rottier_ Peter J.M'", " ' Rottier_ Peter J.M.'", " ' Rottier_ Peter'", " ' Rouskin_ Silvi'", " ' Roussarie_ Jean-Pierre'", " ' Rovida_ Francesca'", " ' Rowe_ Emily K.'", " ' Rowe_ Thomas'", " ' Rowe_ W. P.'", " ' Rowley_ Anne H.'", " ' Roy_ Polly'", " ' Rozanov_ Mikhail'", " ' Rozenberg_ Flore'", " ' Ruan_ Li'", " ' Rubio_ R.'", " ' Rudoler_ Nir'", " ' Ruel_ Y.'", " ' Ruffolo_ Rosanna'", " ' Ruggieri_ Michael R.'", " ' Rupprecht_ Charles E.'", " ' Russell_ Marsha'", " ' Rusvai_ Miklos'", " ' Rutala_ William A.'", " ' Rychlewski_ Leszek'", " ' Rysman_ Evelien'", " ' Rzepka_ Joanna P.'", " ' Rácz_ P.'", " ' Röhnisch_ Tim'", " ' Rönkkö_ Esa'", " ' S. Almasoud_ Abdulrahman'", " ' SCHOELEN_ M. P.'", " ' SCOTT_ F.W.'", " ' SHAMBERGER_ KIMBERLY A.'", " ' SHEN_ Bei Fen'", " ' SHEN_ Jian Hua'", " ' SHEN_ Xu'", " ' SHI_ Mu De'", " ' SHI_ Tie Liu'", " ' SMERDOU_ CRISTIAN'", " ' SMITH_ C. S.'", " ' SO_ Loletta Kit‐Ying'", " ' SPAAN_ WILLY J.M.'", " ' SUN_ Bing'", " ' SUÑÉ_ CARLOS'", " ' Saad_ Mustafa M'", " ' Sabella_ Patricia'", " ' Sack_ Stefan'", " ' Sada_ Y.'", " ' Sadia_ Halima'", " ' Sae_ Carlos'", " ' Saeed_ Abdulaziz Bin'", " ' Saeed_ Sharif'", " ' Sahin_ Ugur'", " ' Saif_ L. J.'", " ' Saif_ Linda J'", " ' Saif_ Linda J.'", " ' Saijo_ Masayuki'", " ' Saikatendu_ Kumar S.'", " ' Saikatendu_ Kumar Singh'", " ' Saikatendu_ Kumar'", " ' Saito_ Takehiko'", " ' Sajid_ Muhammad Sohail'", " ' Sakaguchi_ Masahiro'", " ' Sakhatskyy_ Pavlo V.'", " ' Sakhatskyy_ Pavlo'", " ' Sakr_ Ezzeldin A.'", " ' Saksena_ Nitin K.'", " ' Sakthivel_ Senthil Kumar K.'", " ' Sakthivel_ Senthilkumar K.'", " ' Saldanha_ S. Adrian'", " ' Salje_ Henrik'", " ' Sallusto_ Federica'", " ' Salmi_ Aimo'", " ' Salomoni_ Aurelia'", " ' Samaranyake_ L P'", " ' Samborskiy_ Dmitry V.'", " ' Sameroff_ Stephen C.'", " ' Sampaolo_ Michela'", " ' Sampson‐Johannes_ A.'", " ' San Mateo_ Lani'", " ' Sanchez_ Carlos M.'", " ' Sanchez_ Carlos'", " ' Sanchez_ Jose M.'", " ' Sands_ Jenny'", " ' Sangsajja_ Chariya'", " ' Sanhouri_ Tarek Al'", " ' Santarsiero_ Bernard D.'", " ' Saqib_ Muhammad'", " ' Sarafianos_ Stefan G.'", " ' Sarasini_ Antonella'", " ' Sarateanu_ D. E.'", " ' Sardesai_ Niranjan Y.'", " ' Sariol_ Alan'", " ' Sarkar_ Mayukh K.'", " ' Sarma_ Jayasri Das'", " ' Sarpong_ Francisca Naana'", " ' Sasaki_ Michihito'", " ' Sasaki_ Takashi'", " ' Sasazuki_ T.'", " ' Sasazuki_ Takehiko'", " ' Sata_ M.'", " ' Sata_ Tetsutaro'", " ' Satlin_ Michael J.'", " ' Sato_ Hironori'", " ' Sato_ K.'", " ' Sato_ Yuka'", " ' Sato_ Yuko'", " ' Satomi_ Yui'", " ' Saunders_ Kevin O.'", " ' Saunier_ Bertrand'", " ' Sawa_ Hirofumi'", " ' Sawanpanyalert_ Pathom'", " ' Sawicki_ D. L.'", " ' Sawicki_ Stanley G.'", " ' Scandella_ Elke'", " ' Schaad_ Mary C.'", " ' Scheen_ Esther'", " ' Scheible_ Gregor'", " ' Schelle-Prinz_ B.'", " ' Schelle_ Barbara'", " ' Schellen_ P.'", " ' Schellen_ Pepijn'", " ' Schendzielorz_ Alexander'", " ' Scheuplein_ Vivian A.'", " ' Schickli_ Jeanne H.'", " ' Schildgen_ Oliver'", " ' Schildgen_ Verena'", " ' Schiller_ Jennifer J.'", " ' Schipper_ Debby'", " ' Schippers_ Wim'", " ' Schlapp_ T.'", " ' Schlüter_ Marc A.'", " ' Schmid-Wendtner_ Monika'", " ' Schmidt_ Jörg'", " ' Schmidt_ Michael F. G.'", " ' Schmidt_ Michael'", " ' Schmidt_ W. A. K.'", " ' Schmitz_ H.'", " ' Schmitz_ Herbert'", " ' Schmitz_ Shu-Fang Hsu'", " ' Schneider_ Eileen'", " ' Schneider_ Heike'", " ' Schnell_ Matthias J.'", " ' Schnorr_ K. L.'", " ' Schnurr_ David'", " ' Schoeman_ M. Corrie'", " ' Scholl_ David R.'", " ' Scholte_ Florine E. M.'", " ' Schornberg_ Kathryn L.'", " ' Schrader_ D'", " ' Schrader_ D.'", " ' Schrader_ Donna'", " ' Schreur_ P. Wichgers'", " ' Schrier_ C.'", " ' Schriewer_ Jill'", " ' Schroeder_ Megan E.'", " ' Schroeder_ Simon'", " ' Schröder_ Bernd'", " ' Schult-Dietrich_ Patricia'", " ' Schultz_ L. Wayne'", " ' Schulz_ Axel R'", " ' Schumacher_ Loni L.'", " ' Schumacher_ Martin'", " ' Schutten_ Martin'", " ' Schuurman_ N. M. P.'", " ' Schwalbe_ Harald'", " ' Schwartz_ Owen'", " ' Schwarz_ Wolfgang'", " ' Schwudke_ Dominik'", " ' Schäfer_ Alexandra'", " ' Schätzl_ Hermann M.'", " ' Scobey_ T.'", " ' Scobey_ Trevor D.'", " ' Scobey_ Trevor'", " ' Scorpio_ Diana'", " ' Scott_ Dana P.'", " ' Scott_ Dana'", " ' Scott_ Erin P.'", " ' Scott_ F. M. M.'", " ' Scott_ F. W.'", " ' Scott_ F.M.M.'", " ' Screaton_ Gavin R.'", " ' Screaton_ Gavin'", " ' Sczakiel_ Georg'", " ' Se Thoe_ Su Yun'", " ' Se-Thoe_ S-Y'", " ' Sebire_ G.'", " ' See_ E.E.'", " ' Seebens_ Antje'", " ' Segalés_ J.'", " ' Segalés_ Joaquim'", " ' Seguin_ C.'", " ' Sehgal_ Mohit'", " ' Seidah_ Nabil G.'", " ' Seifried_ Erhard'", " ' Seifried_ Janna'", " ' Seilmaier_ Michael'", " ' Sekawi_ Zamberi'", " ' Sekimukai_ Hanako'", " ' Seliga_ Alecia M.'", " ' Selisko_ Barbara'", " ' Selsted_ Michael E.'", " ' Seltsam_ Axel'", " ' Selzner_ Nazia'", " ' Sen_ Ganes C.'", " ' Senanayake_ Savithra D.'", " ' Senba_ Syouhei'", " ' Senda_ Takao'", " ' Seo_ Byeong Joo'", " ' Seo_ Mi-Young'", " ' Seo_ Sachiko'", " ' Seo_ Su-Hun'", " ' Seo_ Su-hun'", " ' Serhan_ Wissam S.'", " ' Serhan_ Wissam'", " ' Serrano_ Pedro'", " ' Sethna_ Manjiri'", " ' Sethna_ Phiroze'", " ' Setiyono_ Agus'", " ' Seto_ W. H.'", " ' Seto_ Wing Hong'", " ' Sevajol_ Marion'", " ' Severson_ Kari M.'", " ' Severson_ William'", " ' Sexton_ Nicole R.'", " ' Shalev_ Itay'", " ' Shaltiël_ Indra A.'", " ' Shams-Eldin_ Hosam'", " ' Shan_ Yajun'", " ' Shan_ Zhi-Xin'", " ' Shang_ Jian'", " ' Shang_ Peng'", " ' Shang_ Weifeng'", " ' Shanshan_ Zhao'", " ' Shao_ Jianqiang'", " ' Shao_ Junbing'", " ' Shao_ Pei-Lan'", " ' Shao_ Y. H.'", " ' Shao_ Yuhao'", " ' Shapiro_ Linda H.'", " ' Sharmin_ Tahmina'", " ' Shaw_ K.'", " ' Shaw_ Kathy'", " ' Shaw_ Neil'", " ' Shaw_ Peter X.'", " ' She_ Mingpeng'", " ' She_ Ying-Long'", " ' She_ Yinglong'", " ' Sheahan_ Tim'", " ' Sheahan_ Timothy P.'", " ' Sheahan_ Timothy'", " ' Shean_ Ryan C'", " ' Shehata_ Mahmoud M.'", " ' Shehata_ Mahmoud'", " ' Shek_ Chung-Tong'", " ' Shelhamer_ James H.'", " ' Shen_ Chun-Wei'", " ' Shen_ Hao'", " ' Shen_ Hong'", " ' Shen_ Hongyuan'", " ' Shen_ Jianhua'", " ' Shen_ Jing-kang'", " ' Shen_ Shuo'", " ' Shen_ Wei'", " ' Shen_ Xu'", " ' Shen_ Yan'", " ' Shi_ D.'", " ' Shi_ Da'", " ' Shi_ H.'", " ' Shi_ Hongyan'", " ' Shi_ Lei'", " ' Shi_ Liqiao'", " ' Shi_ Pei-Yong'", " ' Shi_ Rong'", " ' Shi_ Shu-Qun'", " ' Shi_ Wei'", " ' Shi_ Wei-Feng'", " ' Shi_ Weifeng'", " ' Shi_ Xuanling'", " ' Shi_ Yi'", " ' Shi_ Yulin'", " ' Shi_ Zheng-Li'", " ' Shi_ Zheng-li'", " ' Shi_ Zhengli'", " ' Shibata_ Shinwa'", " ' Shibl_ Atef'", " ' Shieh_ C C K'", " ' Shieh_ Chien-Kou'", " ' Shieh_ Wun-Ju'", " ' Shields_ Shelly'", " ' Shih_ Yi-Ping'", " ' Shike_ Hiroko'", " ' Shimizu_ Yukiko'", " ' Shin_ Hyun Mu'", " ' Shin_ S. S.'", " ' Shirasawa_ S.'", " ' Shirato_ Kazuya'", " ' Shirouzu_ Mikako'", " ' Shiu_ Shi-Yi'", " ' Shoemaker_ Charles J.'", " ' Shomron_ Noam'", " ' Shore_ Tsiporah'", " ' Shows_ Thomas B.'", " ' Shuai_ Huiping'", " ' Shukla_ Anil K.'", " ' Shulman_ Stanford T.'", " ' Shum_ Ka‐To'", " ' Shuo_ Shen'", " ' Si Mohamed_ Hammoudi'", " ' Si_ Bing-yin'", " ' Si_ Bingyin'", " ' Sia_ Sin Fun'", " ' Sia_ Sin-Fun'", " ' Sial_ Awais-ur-Rahman'", " ' Siddell_ S. G.'", " ' Siddell_ S.'", " ' Siddell_ S.G.'", " ' Siddell_ Stuart G.'", " ' Siddiq_ Salma S.'", " ' Siddiqui_ Pamela'", " ' Sidorov_ Igor A.'", " ' Sieberg_ Andrea'", " ' Siegel_ Dustin'", " ' Sierro_ Sophie'", " ' Sigmund_ Curt D.'", " ' Sil_ Bijon K.'", " ' Silberstein_ Erica'", " ' Sillanpää_ Maarit'", " ' Sillekens_ Peter'", " ' Silva_ Marcos Xavier'", " ' Silva_ Sheila Oliveira Souza'", " ' Silveira De Morais_ Ana Theresa'", " ' Silverman_ Robert H.'", " ' Silverman_ Robert\\xa0H.'", " ' Silván_ A.'", " ' Sim_ Soo Yeon'", " ' Simillion_ Cedric'", " ' Simmerman_ James M.'", " ' Simmons_ Graham'", " ' Simmons_ James A.'", " ' Simon_ James H.'", " ' Simonelli_ Luca'", " ' Simpson_ Katharine M.'", " ' Simpson_ Robert W.'", " ' Sims_ A. C.'", " ' Sims_ Amy C.'", " ' Sims_ Amy'", " ' Sin_ Wan-Yee Fion'", " ' Singh_ Kamalendra'", " ' Singh_ Kamaljit S.'", " ' Singh_ Manmeet'", " ' Siriarayapon_ Potjaman'", " ' Sirén_ Jukka'", " ' Sisk_ Jeanne M.'", " ' Siti Suri_ Arshad'", " ' Siu_ Kam-Leung'", " ' Siu_ Yu-Lam'", " ' Sivaraman_ J.'", " ' Sizun_ J.'", " ' Sizun_ Jacques'", " ' Sjöström_ Hans'", " ' Sleeman_ Katrina'", " ' Sloots_ Theo P.'", " ' Slutsky_ Arthur S'", " ' Small_ Catherine B.'", " ' Small_ J. David'", " ' Smeekens_ Sjef'", " ' Smerdou_ Cristian'", " ' Smieja_ Marek'", " ' Smil_ David'", " ' Smith_ Abigail L.'", " ' Smith_ Alexander'", " ' Smith_ Ariana L.'", " ' Smith_ Catherine M.'", " ' Smith_ Catriona'", " ' Smith_ D. R.'", " ' Smith_ Duncan R'", " ' Smith_ Everett Clinton'", " ' Smith_ G. J. D.'", " ' Smith_ Jonathan'", " ' Smith_ Lynda G'", " ' Smith_ M. K.'", " ' Smith_ Richard D.'", " ' Smits_ Saskia L'", " ' Smits_ Saskia L.'", " ' Snijder_ Eric J'", " ' Snijder_ Eric J.'", " ' Snijder_ Joost'", " ' Snodgrass_ D. R.'", " ' Snodgrass_ D.R.'", " ' Snyder_ Michael'", " ' So_ Lok-Yee'", " ' So_ Lok-yee'", " ' So_ R. T. Y.'", " ' So_ TY'", " ' Soave_ Rosemary'", " ' Sobhy_ Heba'", " ' Sobral_ Bruno'", " ' Sobsey_ Mark D.'", " ' Soccal_ Paola M.'", " ' Soe_ Lisa H.'", " ' Sohn_ Kyung Mok'", " ' Sohrab_ Sayed S'", " ' Sohrab_ Sayed Sartaj'", " ' Soike_ Kenneth F.'", " ' Soilleux_ Elizabeth J.'", " ' Soilleux_ Elizabeth'", " ' Sola_ I.'", " ' Sola_ Isabel'", " ' Soloff_ Adam'", " ' Somasundaran_ Mohan'", " ' Sompallae_ Ramakrishna'", " ' Son_ Hyeon Seok'", " ' Son_ Jun Seong'", " ' Song_ Deguang'", " ' Song_ Deping'", " ' Song_ Fei'", " ' Song_ Jae-Young'", " ' Song_ Jaeyoung'", " ' Song_ Jianxing'", " ' Song_ Nong'", " ' Song_ Qifeng'", " ' Song_ Shanshan'", " ' Song_ Xinyu'", " ' Song_ Yajun'", " ' Song_ Zhi-Zhong'", " ' Song_ Zhu-yuan'", " ' Sorensen_ G. L.'", " ' Sorensen_ Ole'", " ' Soriano_ Alex'", " ' Sorrentino_ A.'", " ' Soule_ Geoff'", " ' Sova_ Pavel'", " ' Spaan_ W.'", " ' Spaan_ W.J.M.'", " ' Spaan_ Willy J. M.'", " ' Spaan_ Willy J.M.'", " ' Spaan_ Willy'", " ' Spaargaren_ Joke'", " ' Spagnolo_ V.'", " ' Sparks_ Jennifer'", " ' Specht_ Sabine'", " ' Speiser_ Daniel'", " ' Spekreijse_ Dieuwertje'", " ' Spence_ Robert A.'", " ' Spencer_ Kelly-Anne'", " ' Spiegel_ Martin'", " ' Spiegelberg_ Larissa'", " ' Spiga_ Ottavia'", " ' Spiro_ David'", " ' Spreitzer_ Ingo'", " ' Springstein_ Benjamin L.'", " ' Spronken_ Monique I.'", " ' Sreevatsan_ Srinand'", " ' Srinivasamoorthy_ Ganesh'", " ' Srinivasan_ Mohan'", " ' Ssebide_ B.'", " ' St-Jean_ Julien R.'", " ' St. Claire_ Marisa'", " ' St. John_ Sarah E.'", " ' St. Leger_ Judy'", " ' Staat_ Mary A.'", " ' Stadler_ Konrad'", " ' Stalder_ Hanspeter'", " ' Stallings_ Cassie R.'", " ' Stallkamp_ Iris'", " ' Stangler_ Thomas'", " ' Stanton_ Lawrence W'", " ' Stanton_ Lawrence W.'", " ' Stauffer_ Shaun R.'", " ' Steel_ John'", " ' Steffen_ Imke'", " ' Stein_ David A.'", " ' Steinbrenner_ Adam D.'", " ' Steinhagen_ Katja'", " ' Steinkasserer_ Alexander'", " ' Stephenson_ Kyle B.'", " ' Stevens-Ayers_ Terry L'", " ' Stevens_ Miguel'", " ' Stevens_ Raymond C.'", " ' Stevens_ Roy H.'", " ' Stevens_ Vicky'", " ' Stewart_ Janet N.'", " ' Stirrups_ Kathleen'", " ' Stittelaar_ Koert J.'", " ' Stoffel_ Michael H'", " ' Stohlman_ Stephen A.'", " ' Stoldt_ Matthias'", " ' Storz_ J.'", " ' Storz_ Johannes'", " ' Stozek_ Karol'", " ' Strandbygaard_ B.'", " ' Stratton_ Kelly G.'", " ' Street_ Craig'", " ' Streeter_ Robert N.'", " ' Stringham_ S. M.'", " ' Strong_ James E.'", " ' Struebig_ Matthew J.'", " ' Stuart_ Melissa'", " ' Sturges_ Leslie'", " ' Sturman_ Lawrence S.'", " ' Stöhr_ Klaus'", " ' Su_ Bi-Ling'", " ' Su_ Ceyang'", " ' Su_ Dan'", " ' Su_ I J'", " ' Su_ Ih-Jen'", " ' Su_ In-Jen'", " ' Su_ Juan'", " ' Su_ Li-Chen'", " ' Su_ Yi-Da'", " ' Su_ Yu-Pin'", " ' Su_ Yuelong'", " ' Subangkit_ Mawar'", " ' Subbarao_ Kanta'", " ' Subedar_ Alaa T.'", " ' Subissi_ Lorenzo'", " ' Subramanian_ Vanitha'", " ' Subramanya_ Gitanjali'", " ' Sue_ Shih-Che'", " ' Suen_ K. Y.'", " ' Sugamura_ Kazuo'", " ' Sugiyama_ Kazuo'", " ' Sui_ Jianhua'", " ' Sulaiman_ Nikhat'", " ' Sulea_ Traian'", " ' Suliman_ Tasnim'", " ' Sullens_ Anne'", " ' Sullivan_ Eddie'", " ' Sullivan_ John L.'", " ' Sun_ Bing'", " ' Sun_ Chaomin'", " ' Sun_ Chiao-Yin'", " ' Sun_ Chuyang'", " ' Sun_ Dawei'", " ' Sun_ Der-Shan'", " ' Sun_ Fei'", " ' Sun_ Hongzhe'", " ' Sun_ Jinfu'", " ' Sun_ Li'", " ' Sun_ Lunquan'", " ' Sun_ Nana'", " ' Sun_ Qiang'", " ' Sun_ Ren'", " ' Sun_ Shihui'", " ' Sun_ Tao'", " ' Sun_ Tianhao'", " ' Sun_ Wei'", " ' Sun_ Yanwei'", " ' Sun_ Yili'", " ' Sun_ Ying'", " ' Sun_ Yinyan'", " ' Sun_ Yuan'", " ' Sun_ Yuna'", " ' Sundberg_ Eric J.'", " ' Sung_ J J-Y'", " ' Sung_ J. J. Y.'", " ' Sung_ J. J.'", " ' Sung_ JJY'", " ' Sung_ Joseph J Y'", " ' Sung_ Joseph J. Y.'", " ' Sung_ Joseph J.Y.'", " ' Sung_ Minki'", " ' Sung_ Moon-Hee'", " ' Sunji_ A.'", " ' Supekar_ Vinit M.'", " ' Surya_ Wahyu'", " ' Sutter_ Gerd'", " ' Suzaki_ Etsuko'", " ' Suzuki_ Hideka'", " ' Suzuki_ Tadaki'", " ' Suñé_ Carlos'", " ' Svansson_ V.'", " ' Svergun_ Dmitri I.'", " ' Swaminathan_ S. P.'", " ' Swanstrom_ Jesica'", " ' Swerdlow_ David L.'", " ' Swerdlow_ David'", " ' Swett-Tapia_ Cindy'", " ' Szczepanski_ Artur'", " ' Sze_ Kong-Hung'", " ' Szilagyi_ Peter G.'", " ' Szkoda_ Tomasz'", " ' SÁNCHEZ_ CARLOS'", " ' Sánchez_ Carlos'", " ' Séjourné_ Caroline'", " ' Süzer_ Yasemin'", " ' TORIBIO_ JALML'", " ' TURNER_ HORACE C.'", " ' Tagawa_ Yoh-ichi'", " ' Tagliabue_ Claudia'", " ' Taguchi_ F.'", " ' Taguchi_ Fumihiro'", " ' Taha_ Mutasem O.'", " ' Taha_ Siswatiana'", " ' Tahar_ Belhamiti Belkacem'", " ' Tahir_ Usman'", " ' Tai_ Wanbo'", " ' Taj_ Zeeshan'", " ' Takahashi_ E.'", " ' Takahashi_ Eiji'", " ' Takahashi_ Hiromi'", " ' Takahashi_ Yoshimasa'", " ' Takamaru_ H.'", " ' Takashima_ Ikuo'", " ' Takayama_ Jun'", " ' Takeda_ Makoto'", " ' Takemori_ Toshitada'", " ' Talafha_ Hani A.'", " ' Talamillo_ Ana'", " ' Talbot_ H. Keipp'", " ' Talbot_ Helen K. B.'", " ' Talbot_ P.J.'", " ' Talbot_ Pierre J'", " ' Talbot_ Pierre J.'", " ' Tallarico_ Aimee St. Clair'", " ' Tam_ F. C. H.'", " ' Tam_ JS'", " ' Tam_ James P.'", " ' Tam_ John S'", " ' Tam_ John S.'", " ' Tam_ John Siu-Lun'", " ' Tam_ Paul K H'", " ' Tam_ Sidney CF'", " ' Tam_ Victoria K. P.'", " ' Tam_ Victoria KP'", " ' Tamashiro_ Hiko'", " ' Tambyah_ Paul A.'", " ' Tamin_ Azaibi'", " ' Tan_ Benny K.H.'", " ' Tan_ Bing'", " ' Tan_ Hwee-Cheng'", " ' Tan_ Jenny'", " ' Tan_ Lei'", " ' Tan_ S.H.'", " ' Tan_ Timothy H. P.'", " ' Tan_ Timothy H.P.'", " ' Tan_ WenJie'", " ' Tan_ Wenjie'", " ' Tan_ Xuan'", " ' Tan_ Xuehai'", " ' Tan_ Yee J.'", " ' Tan_ Yee Joo'", " ' Tan_ Yee-Joo'", " ' Tan_ Yusheng'", " ' Tanaka_ Nobuyuki'", " ' Tanaka_ Yoshimasa'", " ' Tanaka_ Yoshinori'", " ' Tandi_ T.E.'", " ' Tang_ BSF'", " ' Tang_ Bone S. F.'", " ' Tang_ Hua'", " ' Tang_ Jian'", " ' Tang_ King-Fai'", " ' Tang_ Lijie'", " ' Tang_ Nelson LS'", " ' Tang_ Qing-hai'", " ' Tang_ Qingquan'", " ' Tang_ X. C.'", " ' Tang_ Xian-Chun'", " ' Tang_ Xiangjun'", " ' Tang_ Yuxin'", " ' Tangudu_ Chandra'", " ' Tangy_ Frédéric'", " ' Taniguchi_ Satoshi'", " ' Taniwaki_ Sueli A.'", " ' Tanner_ Julian A.'", " ' Tanner_ Julian\\u2005A.'", " ' Tao_ Jiali'", " ' Tao_ Kin P'", " ' Tao_ Liang'", " ' Tao_ Ling'", " ' Tao_ Xinrong'", " ' Tao_ Ying'", " ' Tarakji_ Bassel'", " ' Tardieu_ M.'", " ' Tarn_ Woan‐Yuh'", " ' Tashiro_ Masato'", " ' Tashmukhamedova_ Alla'", " ' Tasker_ S.'", " ' Tateki_ Kikuchi'", " ' Tateno_ Adriana Fumie'", " ' Tatti_ Kathleen M.'", " ' Tatti_ Kathleen'", " ' Tawara_ T'", " ' Tawfik_ Sameh'", " ' Tay_ Felicia P. L.'", " ' Tay_ Felicia P.L.'", " ' Tay_ Felicia Pei Ling'", " ' Taylor_ Deborah R.'", " ' Taylor_ Jill'", " ' Tayyab_ Muhammad Haleem'", " ' Teal_ Thomas H.'", " ' Teixeira_ M. C. B.'", " ' Tekes_ Gergely'", " ' Tempesta_ M'", " ' Tempesta_ M.'", " ' Tempesta_ Maria'", " ' Templeton_ C.'", " ' Ten Eyck_ Patrick P'", " ' Teng_ Eileen'", " ' Teng_ Jade L. L.'", " ' Teng_ Xin'", " ' Tengku Azmi_ Tengku Ibrahim'", " ' Teoh_ K. T.'", " ' Teoh_ S C B'", " ' Terada_ Eiji'", " ' Terada_ Takaho'", " ' Terada_ Yutaka'", " ' Terasaki_ Kaori'", " ' Tesh_ Robert B.'", " ' Thacker_ H. L.'", " ' Thacker_ H.L'", " ' Thackray_ Larissa B.'", " ' Thai_ Hong Thi Cam'", " ' Tham_ Puay-Yoke'", " ' Thiel_ Heinz-Jürgen'", " ' Thiel_ Volker'", " ' Thijsse_ Alexandra'", " ' Thiry_ E.'", " ' Thoelen_ Inge'", " ' Thomas_ Angelos'", " ' Thomas_ William D.'", " ' Thomas_ William'", " ' Thompson_ W. L.'", " ' Thor_ S. W.'", " ' Thoreau_ Herve'", " ' Thornbrough_ Joshua M.'", " ' Thornburg_ Natalie J.'", " ' Throsby_ Mark'", " ' Thumbi_ S. M.'", " ' Tian_ Chunyan'", " ' Tian_ Jie'", " ' Tian_ Yangli'", " ' Tibbles_ K.'", " ' Tibbles_ K.W.'", " ' Tibbo_ Markos'", " ' Tien_ Po'", " ' Tijssen_ P.'", " ' Tijssen_ Peter'", " ' Tilley_ Stephen'", " ' Tillman_ Ramona'", " ' Tilton_ Susan C.'", " ' Timani_ Khalid Amine'", " ' Timens_ W'", " ' Timm_ J.'", " ' Timoney_ Peter J.'", " ' Tinelli_ Antonella'", " ' Ting_ Hsien-Wei'", " ' Tingey_ Colleen'", " ' Tinoco_ Yeny'", " ' To_ K-F'", " ' To_ K. F.'", " ' To_ Ka‐Fai'", " ' To_ Kelvin K. W.'", " ' To_ Kelvin K.W.'", " ' To_ Kelvin Kai-Wang'", " ' To_ W.K.'", " ' Tocque_ Fabienne'", " ' Togayachi_ Akira'", " ' Tohme_ Rania A.'", " ' Tohyama_ K'", " ' Tokars_ Valerie'", " ' Tokuhisa_ S.'", " ' Tolah_ Ahmed M.'", " ' Tolksdorf_ Frank'", " ' Tomar_ Sakshi'", " ' Tondera_ Christiane'", " ' Tong_ Deyan'", " ' Tong_ G. Z.'", " ' Tong_ Joanna H.M.'", " ' Tong_ Joanna HM'", " ' Tong_ Louis KL'", " ' Tong_ Suxiang'", " ' Tong_ Wei'", " ' Tong_ Xiaohang'", " ' Tong_ YK'", " ' Tong_ Yi-Gang'", " ' Tong_ Yu K'", " ' Toomey_ Crista'", " ' Torner_ Núria'", " ' Torres_ Carolina A.'", " ' Torres_ Jaume'", " ' Tortorici_ M. Alejandra'", " ' Torun_ S.'", " ' Totura_ Allison'", " ' Touchette_ Erin'", " ' Touzain_ F.'", " ' Toyoda_ Yutaka'", " ' Trampisch_ H. J.'", " ' Tran_ Dat'", " ' Traore_ Amadou'", " ' Travanty_ Emily A.'", " ' Traynor_ Dawn'", " ' Tremolati_ Elena'", " ' Trent_ Ava M.'", " ' Trilla_ Antoni'", " ' Tripey_ Valérie'", " ' Trivedi_ Suvang'", " ' Trudel_ M.'", " ' Trujillo_ Jonathan'", " ' Truong_ Lena'", " ' Tråvén_ M.'", " ' Tsai_ Chang-Hai'", " ' Tsai_ Cheng-Kun'", " ' Tsai_ Chin-Chuan'", " ' Tsai_ Ching-Yi'", " ' Tsai_ Fuu-Jen'", " ' Tsai_ Fuu‐Jen'", " ' Tsai_ Sau-Na'", " ' Tsai_ Sau‐Na'", " ' Tsai_ Shih C.'", " ' Tsai_ Shih-Feng'", " ' Tsai_ Ya-Chea'", " ' Tsang_ Alan K. L.'", " ' Tsang_ DNC'", " ' Tsang_ Lily'", " ' Tsang_ Tak‐Yin'", " ' Tsao_ Ching-Han'", " ' Tsao_ S. W.'", " ' Tschapka_ Marco'", " ' Tse_ Alena'", " ' Tse_ Gary MK'", " ' Tse_ Herman'", " ' Tse_ Tsemay M.'", " ' Tsegaye_ Theodros Solomon'", " ' Tseng_ Chien-Te K'", " ' Tseng_ Chien-Te K.'", " ' Tseng_ Chien-Te Kent'", " ' Tseng_ Jennifer'", " ' Tseng_ Monica'", " ' Tseng_ Sung-Pin'", " ' Tso_ Yuk‐Keung'", " ' Tsoi_ H.-W.'", " ' Tsoi_ Hoi-Wah'", " ' Tsoi_ Hoi-wah'", " ' Tsoi_ Hoi‐wah'", " ' Tsui_ SKW'", " ' Tsui_ Stephen K.W.'", " ' Tsui_ Stephen Kwok-Wing'", " ' Tsui_ W.H.W'", " ' Tsujimura_ Koji'", " ' Tsukahara_ Masayoshi'", " ' Tsunetsugu-Yokota_ Yasuko'", " ' Tsunetsugu‐Yokota_ Yasuko'", " ' Tsutsumi_ Hiroyuki'", " ' Tu_ Chang-Chun'", " ' Tu_ Changchun'", " ' Tu_ Xinming'", " ' Tucker_ Paul A.'", " ' Tuler_ Jeremy'", " ' Tumpey_ Terrence M.'", " ' Tuplin_ C.K.'", " ' Turbide_ Claire'", " ' Turkestani_ Abdulhafeez'", " ' Turlington_ Mark'", " ' Turner_ Hannah L.'", " ' Turner_ James M.'", " ' Turza_ Nadine'", " ' Tusell_ Sonia M.'", " ' Twarda-Clapa_ Aleksandra'", " ' Twardziok_ Sven'", " ' Tyler_ Andrea'", " ' Tyler_ H.D.'", " ' Tyrrell_ D.'", " ' Uchida_ Yoshiaki'", " ' Uda_ Akihiko'", " ' Ueda_ Naoya'", " ' Uematsu_ Yasushi'", " ' Ueno_ Takanori'", " ' Ugen_ Kenneth E.'", " ' Ujayli_ Alaa'", " ' Ujfalusi_ Maria J.'", " ' Ujike_ Makoto'", " ' Ujjan_ Ikram Din'", " ' Ulasli_ Mustafa'", " ' Ulferts_ Rachel'", " ' Ulitzky_ Laura'", " ' Umeda_ Kouji'", " ' Umland_ Timothy C.'", " ' Urano_ Toru'", " ' Urayama_ T.'", " ' Uttenthal_ Å.'", " ' Uyeki_ Timothy M.'", " ' UytdeHaag_ F.G.C.M.'", " ' VAN REETH_ KRISTIEN'", " ' Vabret_ Astrid'", " ' Vaclavek_ P.'", " ' Vajda_ Sandor'", " ' Vallet_ Sophie'", " ' Vallo_ Peter'", " ' Vallone_ Beatrice'", " ' Van Blarcom_ Thomas'", " ' Van Galen_ Joseph G.'", " ' Van Kerkhove_ Maria D'", " ' Van Kerkhove_ Maria D.'", " ' Van Ranst_ Marc'", " ' Van Reeth_ Kristien'", " ' Van Rooijen_ Nico'", " ' Van Westrienen_ Jesse'", " ' VanCott_ John L.'", " ' Vandamme_ Anne-Mieke'", " ' VanderWaal_ K.'", " ' Vandermeer_ Frank'", " ' Vanzetta_ Fabrizia'", " ' Varani_ Luca'", " ' Varlet_ Isabelle'", " ' Vasilieva_ Natalya'", " ' Vasseur_ Jean-Jacques'", " ' Vaux_ Laura C'", " ' Vaz_ E.K.'", " ' Vedantham_ Punitha'", " ' Veesler_ David'", " ' Vega_ Vinsensius B'", " ' Vega_ Vinsensius B.'", " ' Velasquez_ Jeffrey'", " ' Vendembeuche_ Anthony'", " ' Venkataraman_ Thiagarajan'", " ' Vennema_ H.'", " ' Verbeeck_ Jannick'", " ' Verdia-Báguena_ Carmina'", " ' Vergara-Alert_ Júlia'", " ' Verhamme_ Fien M'", " ' Verheije_ M. H.'", " ' Verheije_ M.H.'", " ' Verheije_ Monique H.'", " ' Verjans_ Georges M. G. M.'", " ' Vermeulen-Oost_ Wilma'", " ' Versluis_ Cees'", " ' Vicenzi_ E.'", " ' Vicenzi_ Elisa'", " ' Vidal_ Luine R. R.'", " ' Vidalain_ Pierre-Olivier'", " ' Vignuzzi_ Marco'", " ' Vijay_ Rahul'", " ' Vijaykrishna_ D.'", " ' Vijgen_ Leen'", " ' Vila_ Jordi'", " ' Vilella_ Anna'", " ' Villalaín_ José'", " ' Villarreal_ Daniel O.'", " ' Villarreal_ L. Y. B.'", " ' Villarreal_ Laura Y. B.'", " ' Vincent_ Martin J.'", " ' Viscidi_ Raphael P.'", " ' Viscidi_ Raphael'", " ' Vitale_ Joseph N.'", " ' Vlasak_ Reinhard'", " ' Vlasova_ Anastasia N.'", " ' Vlasova_ Anastasia'", " ' Voelker_ Dennis R.'", " ' Voell_ Jocelyn'", " ' Vogel'", " ' Vogel_ J.-U.'", " ' Vogel_ Leatrice N'", " ' Vogel_ Leatrice'", " ' Vogel_ Lotte K.'", " ' Voigt_ Christian C.'", " ' Volders_ Haukeliene'", " ' Volders_ Haukeline'", " ' Volz_ Asisa'", " ' VonDobschuetz_ Sophie'", " ' Vonk_ Annelotte M.'", " ' Vonrhein_ Clemens'", " ' Voss_ Daniel'", " ' Voss_ Thomas G.'", " ' Vries_ Laura Smits-De'", " ' Vuong_ Cuong Duc'", " ' Vuotto_ Fanny'", " ' Völz_ Sebastian'", " ' WANG_ Hong Xia'", " ' WANG_ Jin'", " ' WANG_ XIJUN'", " ' WANG_ Yuan'", " ' WEGE_ H.'", " ' WEN_ ZHIYUN'", " ' WHITE_ JD'", " ' WU_ Jia Rui'", " ' Wacharapluesadee_ Supaporn'", " ' Wada_ Masami'", " ' Wada_ Teiji'", " ' Waghmare_ Alpana A'", " ' Waghmare_ Alpana A.'", " ' Waghmare_ Alpana'", " ' Waibler_ Zoe'", " ' Wakamiya_ Maki'", " ' Waldschmidt_ Thomas J.'", " ' Wali_ Ghassan'", " ' Walia_ Charanjiv S.'", " ' Walsh_ Edward E.'", " ' Walter_ Ingrid'", " ' Waltzek_ Thomas B'", " ' Wan_ Jia'", " ' Wan_ Kanglin'", " ' Wan_ Lei'", " ' Wan_ Ping'", " ' Wan_ Yushun'", " ' Wan_ Zhuoyue'", " ' Wang_ Andrew H. -J.'", " ' Wang_ An‐Bang'", " ' Wang_ Bo'", " ' Wang_ Changlin'", " ' Wang_ Chen'", " ' Wang_ Chengli'", " ' Wang_ Chin-Tien'", " ' Wang_ Ching-Ho'", " ' Wang_ Chun-Jen'", " ' Wang_ David'", " ' Wang_ Dong'", " ' Wang_ Donggen'", " ' Wang_ Gang'", " ' Wang_ Guang-Fa'", " ' Wang_ Guangwen'", " ' Wang_ Gui-Jie'", " ' Wang_ H J'", " ' Wang_ Haibo'", " ' Wang_ Hanzhong'", " ' Wang_ Hao'", " ' Wang_ Hong'", " ' Wang_ Hongfeng'", " ' Wang_ Hongxia'", " ' Wang_ Hui'", " ' Wang_ Huijuan'", " ' Wang_ Huijun'", " ' Wang_ Hurng-Yi'", " ' Wang_ J. B.'", " ' Wang_ Jia-huai'", " ' Wang_ Jian'", " ' Wang_ Jianmin'", " ' Wang_ Jianwei'", " ' Wang_ Jibin'", " ' Wang_ Jie'", " ' Wang_ Jieru'", " ' Wang_ Jin'", " ' Wang_ Jing'", " ' Wang_ Jinglan'", " ' Wang_ Jinshan'", " ' Wang_ Kai'", " ' Wang_ Kaimei'", " ' Wang_ L- F.'", " ' Wang_ Li'", " ' Wang_ Lili'", " ' Wang_ Lin'", " ' Wang_ Lin-Fa'", " ' Wang_ Ling'", " ' Wang_ Lingshu'", " ' Wang_ Li‐Chieh'", " ' Wang_ Luoping'", " ' Wang_ Mei-Cheng'", " ' Wang_ Mei-Ching'", " ' Wang_ Mei-Niang'", " ' Wang_ Michelle'", " ' Wang_ Min'", " ' Wang_ Min-Nian'", " ' Wang_ Ming'", " ' Wang_ Muping'", " ' Wang_ Nan'", " ' Wang_ Nianshuang'", " ' Wang_ Ning'", " ' Wang_ Pei‐Gang'", " ' Wang_ Pengfei'", " ' Wang_ Qian'", " ' Wang_ Qihui'", " ' Wang_ Qiuling'", " ' Wang_ Qiuna'", " ' Wang_ S.'", " ' Wang_ Shan'", " ' Wang_ Sheng-Yue'", " ' Wang_ Shenqi'", " ' Wang_ Shiliang'", " ' Wang_ Shiu-Mei'", " ' Wang_ Sifang'", " ' Wang_ Sylvia Y. H.'", " ' Wang_ Tao'", " ' Wang_ Tianyi'", " ' Wang_ Ting'", " ' Wang_ Wei'", " ' Wang_ Wei-Kung'", " ' Wang_ Weicong'", " ' Wang_ Wen'", " ' Wang_ Wenling'", " ' Wang_ Xianhui'", " ' Wang_ Xinquan'", " ' Wang_ Xiuying'", " ' Wang_ Y'", " ' Wang_ Ya-di'", " ' Wang_ Yanbin'", " ' Wang_ Yanhua'", " ' Wang_ Yanping'", " ' Wang_ Yanqun'", " ' Wang_ Yeau-Ching'", " ' Wang_ Yi'", " ' Wang_ Yijia'", " ' Wang_ Ying'", " ' Wang_ Yixin'", " ' Wang_ Yu'", " ' Wang_ Yuan-Yuan'", " ' Wang_ Yufei'", " ' Wang_ Yuyan'", " ' Wang_ Zheng'", " ' Wang_ Zhenya'", " ' Wang_ Zhong'", " ' Wang_ Zidao'", " ' Wannee_ Kazimier F.'", " ' Ward_ Andrew B.'", " ' Ward_ Jerrold M.'", " ' Ward_ Theresa'", " ' Warnecke_ Lisa'", " ' Warren_ Graham'", " ' Waruhiu_ Cecilia'", " ' Wasil_ Raymond'", " ' Watanabe_ Hisayoshi'", " ' Watanabe_ Rie'", " ' Watanabe_ Rihito'", " ' Watanabe_ Shumpei'", " ' Waters_ Katrina M.'", " ' Watson_ John T.'", " ' Watson_ Richard'", " ' Watson_ Simon J'", " ' Watson_ Simon J.'", " ' Watt_ Rory M.'", " ' Watt_ Rory\\u2005M.'", " ' Watts_ Douglas M.'", " ' Waye_ MMY'", " ' Waye_ Mary Miu-Yee'", " ' Waye_ Mary Miu‐Yee'", " ' Webb-Robertson_ Bobbie-Jo M.'", " ' Webby_ R. J.'", " ' Webby_ Richard J'", " ' Weber_ David J.'", " ' Weber_ Friedemann'", " ' Weber_ Michaela'", " ' Weerts_ Erik A. W. S.'", " ' Wege_ Helmut'", " ' Wei_ Chia Lin'", " ' Wei_ Dong-Qing'", " ' Wei_ Handong'", " ' Wei_ Kaihua'", " ' Wei_ Lei'", " ' Wei_ Ping'", " ' Wei_ Qiang'", " ' Wei_ R.'", " ' Wei_ Tianchao'", " ' Wei_ Wei'", " ' Wei_ Wen-Chin'", " ' Wei_ William I.'", " ' Weidmann_ Manfred'", " ' Weinberg_ Geoffrey A.'", " ' Weiner_ David B.'", " ' Weingartl_ Hana'", " ' Weir_ Mark H.'", " ' Weiss_ Kayla A.'", " ' Weiss_ Susan R'", " ' Weiss_ Susan R.'", " ' Weiss_ Susan'", " ' Weiss_ Susan\\xa0R.'", " ' Wells_ H.'", " ' Welsch_ Kathrin'", " ' Welsh_ Sarah'", " ' Wen_ Jie'", " ' Wen_ Kun'", " ' Wen_ Z.L'", " ' Wendt_ S.'", " ' Wendtner_ Clemens-Martin'", " ' Weng_ Desheng'", " ' Wennier_ Sonia T.'", " ' Wentworth_ David E.'", " ' Wernery_ Ulrich'", " ' Wertheim-van Dillen_ Pauline M E'", " ' West_ Matthew B'", " ' Westblade_ Lars F.'", " ' Westenius_ Veera'", " ' Westerbeke_ Aniek'", " ' Weverling_ Gerrit J'", " ' Wex_ Claudia'", " ' Wheeler_ Dorthea L.'", " ' Whitaker_ Brett'", " ' White_ Judith M.'", " ' Whitehouse_ Adrian'", " ' Whitmore_ Alan'", " ' Whittaker_ Gary R.'", " ' Wicht_ Oliver'", " ' Wickham_ Louise'", " ' Widagdo_ W'", " ' Widagdo_ W.'", " ' Widdowson_ Marc-Alain'", " ' Widjaja_ Ivy'", " ' Wiegertjes_ Geert F.'", " ' Wiersma_ Lidewij'", " ' Wikramaratna_ Paul'", " ' Wileman_ Tom'", " ' Wilken_ Matthew'", " ' Wilkinson_ Keith D.'", " ' Willbold_ Dieter'", " ' Willby_ Melisa J.'", " ' Willems_ Lione'", " ' Willey_ Barbara M.'", " ' Williams_ Gwyn D.'", " ' Williams_ John V.'", " ' Williams_ K. L.'", " ' Williams_ Richard K.'", " ' Williams_ S. M.'", " ' Willis_ Craig K. R.'", " ' Wilmouth_ Rupert'", " ' Wilson_ Ian A.'", " ' Wilson_ James M.'", " ' Wilson_ Louise'", " ' Wimley_ William C.'", " ' Wing Chu_ Ka'", " ' Winkler_ Michael'", " ' Winograd_ Deborah F.'", " ' Winter_ Christine'", " ' Wise_ Megan'", " ' Witzke_ O.'", " ' Wivel_ Nelson A.'", " ' Wladyka_ Benedykt'", " ' Wo_ Jianer'", " ' Wohlford-Lenane_ Christine L.'", " ' Wohlford-Lenane_ Christine'", " ' Wohlhueter_ Robert M.'", " ' Wojarski_ Jacek'", " ' Wolde_ Abebe Wossene'", " ' Wolf_ Dominik'", " ' Wollants_ Elke'", " ' Wollny_ Robert'", " ' Wolthers_ Katja C'", " ' Wong_ Antonio C P'", " ' Wong_ Beatrice H. L.'", " ' Wong_ Beatrice HL'", " ' Wong_ Bosco Ho-Yin'", " ' Wong_ Charlotte K. L.'", " ' Wong_ Charlotte K.L.'", " ' Wong_ Chi-Hang'", " ' Wong_ Chi-Huey'", " ' Wong_ Derek A'", " ' Wong_ Elaine'", " ' Wong_ Emily Y. M.'", " ' Wong_ Gary W. K.'", " ' Wong_ Gilman K. M.'", " ' Wong_ H-C'", " ' Wong_ Hui H.'", " ' Wong_ Kam‐Bo'", " ' Wong_ Kenneth Kak-Yuen'", " ' Wong_ Kin-Ling'", " ' Wong_ Kin‐Ling'", " ' Wong_ Michelle'", " ' Wong_ Ngai Sze'", " ' Wong_ O. K.'", " ' Wong_ On Kei'", " ' Wong_ Raymond Tsz Yeung'", " ' Wong_ S.H.'", " ' Wong_ Samson S. Y.'", " ' Wong_ Samson SY'", " ' Wong_ Swee Kee'", " ' Wong_ Swee-Kee'", " ' Wong_ Tin-yau'", " ' Woo_ Gibson K. S.'", " ' Woo_ Hye-Jin'", " ' Woo_ P. C. Y.'", " ' Woo_ Patrick C Y'", " ' Woo_ Patrick C. Y.'", " ' Woodle_ Martin C'", " ' Woodruff_ Becky'", " ' Workman_ Lesley'", " ' Worthy_ Melissa'", " ' Wrede_ Paul'", " ' Wrensch_ Florian'", " ' Wright_ Patrick W.'", " ' Wu-Hsieh_ Betty A.'", " ' Wu_ A'", " ' Wu_ Alan K. L.'", " ' Wu_ Alan'", " ' Wu_ Andong'", " ' Wu_ Ashley'", " ' Wu_ C. C.'", " ' Wu_ C.C'", " ' Wu_ C.‐H.'", " ' Wu_ Chang-You'", " ' Wu_ Changyou'", " ' Wu_ Ching C.'", " ' Wu_ Ching Ching'", " ' Wu_ Ching-Ching'", " ' Wu_ Chung-I'", " ' Wu_ Douglass'", " ' Wu_ Gregory F.'", " ' Wu_ Guang'", " ' Wu_ Guizhen'", " ' Wu_ Hao'", " ' Wu_ Hua'", " ' Wu_ Huai-Huan'", " ' Wu_ Hung-Yi'", " ' Wu_ Jianguo'", " ' Wu_ Jie'", " ' Wu_ Jiunn-Shyan Julian'", " ' Wu_ Joseph T.'", " ' Wu_ Jun'", " ' Wu_ Li-Jun'", " ' Wu_ Lijie'", " ' Wu_ Mavis H. S.'", " ' Wu_ Mei-Hwan'", " ' Wu_ Ming-Chya'", " ' Wu_ Nanping'", " ' Wu_ Ruiting'", " ' Wu_ Sharon H.W.'", " ' Wu_ Songfeng'", " ' Wu_ T.-C.'", " ' Wu_ Tsai-Jung'", " ' Wu_ Wen-Jin'", " ' Wu_ Xiao-Ming'", " ' Wu_ Xin-Wei'", " ' Wu_ Xinwei'", " ' Wu_ Yan Ling'", " ' Wu_ Yang-Chang'", " ' Wu_ Yi-Chun'", " ' Wu_ Yi-Long'", " ' Wu_ Ying'", " ' Wu_ Yingliang'", " ' Wu_ Zheng-Hui'", " ' Wu_ Zhenghui'", " ' Wu_ Zhixin'", " ' Wu_ Zi-Xian'", " ' Wu_ Zixian'", " ' Wubbolts_ Richard W.'", " ' Wunderli_ Werner'", " ' Wurdinger_ Tom'", " ' Wurm_ Torsten'", " ' Wycoff_ Dennis'", " ' Wysocka_ Maria'", " ' Würdinger_ T.'", " ' Würdinger_ Thomas'", " ' Wüthrich_ Kurt'", " ' XIE_ You Hua'", " ' XIONG_ Jie'", " ' Xi_ Kai'", " ' Xia_ Bin'", " ' Xia_ Lele'", " ' Xia_ Ning-Shao'", " ' Xia_ Shuai'", " ' Xia_ Yongmei'", " ' Xia_ Z. L.'", " ' Xiang_ Hua'", " ' Xiang_ Jiangchao'", " ' Xiang_ Nian'", " ' Xiang_ Xuyu'", " ' Xiao_ Gengfu'", " ' Xiao_ Haixia'", " ' Xiao_ Pei-gen'", " ' Xiao_ Wen-Jun'", " ' Xiao_ Xiaodong'", " ' Xiao_ Zhi-Xiong'", " ' Xiaojun_ Huang'", " ' Xie_ Frank Y'", " ' Xie_ Hu'", " ' Xie_ Qing-Mei'", " ' Xie_ Qingmei'", " ' Xie_ Yong'", " ' Xie_ Zhengde'", " ' Xin_ Chao-an'", " ' Xin_ Chaoan'", " ' Xing_ Guichun'", " ' Xing_ Jian-Guang'", " ' Xing_ Jinliang'", " ' Xing_ Shao-Zhen'", " ' Xiong_ Huabao'", " ' Xiong_ Lifeng'", " ' Xiong_ Sidong'", " ' Xiong_ Wei'", " ' Xiong_ Xiaoli'", " ' Xiong_ Zeyu'", " ' Xu_ Guo-Bing'", " ' Xu_ H. Y.'", " ' Xu_ Huifang'", " ' Xu_ Jianguo'", " ' Xu_ Jing'", " ' Xu_ Jun'", " ' Xu_ Junqiang'", " ' Xu_ Ke'", " ' Xu_ Keming'", " ' Xu_ Lili'", " ' Xu_ Lin'", " ' Xu_ Liqing'", " ' Xu_ Ningzhi'", " ' Xu_ Qianqian'", " ' Xu_ Rui-Heng'", " ' Xu_ Shan'", " ' Xu_ W. B.'", " ' Xu_ Wanhai'", " ' Xu_ Wei'", " ' Xu_ Wen'", " ' Xu_ Xiao-Ning'", " ' Xu_ Xiaojie'", " ' Xu_ Xiaoling'", " ' Xu_ Xiaoning'", " ' Xu_ Xiaoyuan'", " ' Xu_ Yanfeng'", " ' Xu_ Yang'", " ' Xu_ Yanhui'", " ' Xu_ Yanmei'", " ' Xu_ Yuanyuan'", " ' Xu_ Zach'", " ' Xuan_ Hua'", " ' Xue_ Fei'", " ' Xue_ Mei'", " ' Xue_ Song'", " ' Xue_ Xiaoping'", " ' Xue_ Xiaoyu'", " ' Xue_ Ying'", " ' Xylouri_ Eftychia'", " ' YAM_ Loretta Yin‐Chun'", " ' YANG_ De Hua'", " ' YANG_ Rui Fu'", " ' YUNG_ Raymond Wai‐Hung'", " ' Yabe_ Mikiko'", " ' Yadav_ Maneesh K.'", " ' Yagi_ Shigeo'", " ' Yam_ LYC'", " ' Yamaguchi_ Keina'", " ' Yamaguchi_ Kenjiro'", " ' Yamamoto_ I.'", " ' Yamamoto_ Naoki'", " ' Yamamoto_ Norio'", " ' Yamanaka_ Gregory A.'", " ' Yamanaka_ Takashi'", " ' Yamate_ Masanobu'", " ' Yan_ Bing'", " ' Yan_ Huimin'", " ' Yan_ Jinghua'", " ' Yan_ Li'", " ' Yan_ Liming'", " ' Yan_ Meiying'", " ' Yan_ Shaomin'", " ' Yan_ WW'", " ' Yan_ Xuan'", " ' Yan_ Yan'", " ' Yang_ Anqi'", " ' Yang_ Bao-an'", " ' Yang_ Baoan'", " ' Yang_ Bei'", " ' Yang_ Chao-Fu'", " ' Yang_ Dong'", " ' Yang_ Fan'", " ' Yang_ Fanli'", " ' Yang_ Haitao'", " ' Yang_ Huang-Hua'", " ' Yang_ Huanming'", " ' Yang_ Hui-Ching'", " ' Yang_ Jeong-Sun'", " ' Yang_ Jihong'", " ' Yang_ Jyh-Yuan'", " ' Yang_ Kun-Yu'", " ' Yang_ Kunder D.'", " ' Yang_ L. Q.'", " ' Yang_ Li'", " ' Yang_ Lijuan'", " ' Yang_ Ling'", " ' Yang_ Min'", " ' Yang_ Pan-Chyr'", " ' Yang_ Peng'", " ' Yang_ Qingang'", " ' Yang_ Renquan'", " ' Yang_ Rui-Feng'", " ' Yang_ Ruifu'", " ' Yang_ T.-H.'", " ' Yang_ Tsuey‐Ching'", " ' Yang_ Wei-Hong'", " ' Yang_ Weihong'", " ' Yang_ Xiao-Feng'", " ' Yang_ Xiaoming'", " ' Yang_ Xing-Lou'", " ' Yang_ Yalin'", " ' Yang_ Yang'", " ' Yang_ Yifu'", " ' Yang_ Yiming'", " ' Yang_ Ying'", " ' Yang_ Yinhui'", " ' Yang_ Yong'", " ' Yang_ Yongkui'", " ' Yang_ Zhi-yong'", " ' Yang_ Ziwen'", " ' Yang_ Zongchang'", " ' Yano_ Takuya'", " ' Yao_ Hangpin'", " ' Yao_ Hung'", " ' Yao_ Qianqian'", " ' Yao_ Wei'", " ' Yao_ Xiying'", " ' Yao_ Yanfeng'", " ' Yao_ Zhenyu'", " ' Yap_ Pei Ling'", " ' Yap_ Y. L.'", " ' Yarbrough_ Wilma B.'", " ' Yassine_ Hadi M.'", " ' Yates_ John R.'", " ' Ye_ Fei'", " ' Ye_ Jingrong'", " ' Ye_ Li'", " ' Ye_ Lin-Bai'", " ' Ye_ Linbai'", " ' Ye_ Rong'", " ' Ye_ Sheng'", " ' Ye_ Yu'", " ' Yeadon-Fagbohun_ Jaime'", " ' Yeager_ Mark'", " ' Yee_ WKS'", " ' Yeh_ Chia-Tsui'", " ' Yeh_ Shiou-Hwei'", " ' Yeh_ T M'", " ' Yen_ Chia-Hung'", " ' Yen_ J H'", " ' Yeung_ Cecilia C.'", " ' Yeung_ Eugene YH'", " ' Yeung_ Hazel C.'", " ' Yeung_ Man Lung'", " ' Yeung_ Man-Lung'", " ' Yeung_ Yiu‐Cheong'", " ' Yew_ Chow\\xa0Wenn'", " ' Yi_ Bin'", " ' Yi_ Christopher E.'", " ' Yi_ Guanghui'", " ' Yi_ Yanping'", " ' Yilmaz_ Z.'", " ' Yim_ Howard C. H.'", " ' Yin_ Jianning'", " ' Yin_ Jing'", " ' Yin_ Lingdan'", " ' Yin_ Xiaolei'", " ' Yin_ Xunnan'", " ' Yin_ Ye'", " ' Yin_ Z.'", " ' Ying_ Tianlei'", " ' Yip_ Chi Wai'", " ' Yip_ Chi-Wai'", " ' Yip_ Cyril C. Y.'", " ' Yip_ Ming S.'", " ' Yip_ Shea-Ping'", " ' Yiu_ Ming-Kwong'", " ' Yokomori_ Kyoko'", " ' Yokosawa_ Noriko'", " ' Yokota_ Shin‐ichi'", " ' Yokota_ Shoko'", " ' Yokoyama_ Hideaki'", " ' Yokoyama_ Masaru'", " ' Yokoyama_ Shigeyuki'", " ' Yolken_ Robert H.'", " ' Yong_ Zhang Zhi'", " ' Yoo_ Byoung J.'", " ' Yoo_ Dongwan'", " ' Yoon_ Hee Sook'", " ' Yoon_ Hyunjun'", " ' Yoon_ In-Kyu'", " ' Yoon_ S.‐W.'", " ' Yoon_ Seok-Hwan'", " ' Yoon_ Soon-Seek'", " ' Yordanov_ Stoian'", " ' Yoshii_ Kentaro'", " ' Yoshikawa_ Tomoki'", " ' Yoshikawa_ Yasuhiro'", " ' Yoshikura_ Hiroshi'", " ' Yoshinaka_ Yoshiyuki'", " ' Yoshino_ Teruo'", " ' Yoshioka_ Craig'", " ' You_ Bo'", " ' You_ Jae‐Hwan'", " ' Younan_ Mario'", " ' Young_ Mark D.'", " ' Yount_ B. L.'", " ' Yount_ Boyd L.'", " ' Yount_ Boyd'", " ' Yu_ Alice L.'", " ' Yu_ Christopher'", " ' Yu_ Dongzhen'", " ' Yu_ Fei'", " ' Yu_ Hao'", " ' Yu_ Hong'", " ' Yu_ Hongwei'", " ' Yu_ Jian'", " ' Yu_ Jianshi'", " ' Yu_ Jiyun'", " ' Yu_ John'", " ' Yu_ Jun'", " ' Yu_ Li'", " ' Yu_ Man'", " ' Yu_ Mathilde W. N.'", " ' Yu_ Meng'", " ' Yu_ Pin'", " ' Yu_ Ting-Chun'", " ' Yu_ Tsan-hung'", " ' Yu_ Victor C.'", " ' Yu_ Wenjie'", " ' Yu_ Wenjing'", " ' Yu_ Xiao'", " ' Yu_ Xiao-Jing'", " ' Yu_ Xiaoling'", " ' Yu_ Xue-Jie'", " ' Yu_ Ye-Dong'", " ' Yu_ Yedong'", " ' Yuan_ Fang'", " ' Yuan_ Fei'", " ' Yuan_ Jing'", " ' Yuan_ Kehu'", " ' Yuan_ Q.'", " ' Yuan_ Shuofeng'", " ' Yuan_ Yuan'", " ' Yuan_ Zhenghong'", " ' Yuen_ K. Y.'", " ' Yuen_ K.-Y.'", " ' Yuen_ K.Y'", " ' Yuen_ KY'", " ' Yuen_ Kit-San'", " ' Yuen_ Kwok Y.'", " ' Yuen_ Kwok Yung'", " ' Yuen_ Kwok-Yung'", " ' Yuen_ Kwok-yung'", " ' Yuen_ Kwok‐Yung'", " ' Yuen_ Kwok‐yung'", " ' Yun_ Mi-ran'", " ' Yung_ RWH'", " ' Yung_ Raymond W. H.'", " ' Yung_ Susan'", " ' Yusof_ Mohammed F.'", " ' Yusof_ Mohammed'", " ' Yuva_ Bellik'", " ' Zaaijer_ Hans L.'", " ' Zakhartchouk_ Alexander'", " ' Zaki_ Ali M.'", " ' Zaki_ Ali Moh'", " ' Zaki_ Ali'", " ' Zaki_ Sherif R.'", " ' Zaki_ Sherif'", " ' Zalinger_ Zachary B.'", " ' Zalmout_ Iyad S.'", " ' Zambon_ Maria C'", " ' Zambon_ Maria'", " ' Zappetti_ Dana'", " ' Zar_ Heather J.'", " ' Zarebski_ Miroslaw'", " ' Zdzalik_ Michal'", " ' Zee_ B.'", " ' Zeglen_ Slawomir'", " ' Zeller_ H.'", " ' Zelus_ Bruce D.'", " ' Zembala_ Marian'", " ' Zeng_ Changqing'", " ' Zeng_ Cong'", " ' Zeng_ FY'", " ' Zeng_ Fanya'", " ' Zeng_ Qinghong'", " ' Zeng_ Ying-Chun'", " ' Zeng_ Yingchun'", " ' Zerbinati_ Rodrigo Melim'", " ' Zevenhoven-Dobbe_ Jessika C.'", " ' Zevenhoven-Dobbe_ Jessika'", " ' Zhai_ Junhui'", " ' Zhai_ Yujia'", " ' Zhan_ Bin'", " ' Zhang_ Aihua'", " ' Zhang_ Binlin'", " ' Zhang_ Buchang'", " ' Zhang_ Changsheng'", " ' Zhang_ Chengsheng'", " ' Zhang_ Chun-Ting'", " ' Zhang_ Enmin'", " ' Zhang_ F. S.'", " ' Zhang_ Fanfan'", " ' Zhang_ Fengwen'", " ' Zhang_ Gongyi'", " ' Zhang_ Gui-hong'", " ' Zhang_ Guo-Wei'", " ' Zhang_ Hai-Lin'", " ' Zhang_ Hai-qing'", " ' Zhang_ Hailin'", " ' Zhang_ Haojie'", " ' Zhang_ Hao‐Jie'", " ' Zhang_ Hong'", " ' Zhang_ Hua'", " ' Zhang_ Hua-Gang'", " ' Zhang_ Hui'", " ' Zhang_ Huiyuan'", " ' Zhang_ J. X.'", " ' Zhang_ J.-Y.'", " ' Zhang_ Jiamin'", " ' Zhang_ Jian'", " ' Zhang_ Jianhua'", " ' Zhang_ Jianmin'", " ' Zhang_ Jing'", " ' Zhang_ Jingqiang'", " ' Zhang_ Jun'", " ' Zhang_ Junpeng'", " ' Zhang_ Junsong'", " ' Zhang_ Li-Biao'", " ' Zhang_ Libiao'", " ' Zhang_ Ling'", " ' Zhang_ Lingqiang'", " ' Zhang_ Linong'", " ' Zhang_ Linqi'", " ' Zhang_ M.'", " ' Zhang_ Naru'", " ' Zhang_ Peiyu'", " ' Zhang_ Q. X.'", " ' Zhang_ Qian'", " ' Zhang_ Qing'", " ' Zhang_ Qingling'", " ' Zhang_ Quanfu'", " ' Zhang_ Ren'", " ' Zhang_ Rong'", " ' Zhang_ Rongguang'", " ' Zhang_ S. Y.'", " ' Zhang_ S.'", " ' Zhang_ Senyan'", " ' Zhang_ Sheng'", " ' Zhang_ Shengnan'", " ' Zhang_ Shu-Yi'", " ' Zhang_ Shuyi'", " ' Zhang_ Tao'", " ' Zhang_ Tianhong'", " ' Zhang_ Ting'", " ' Zhang_ Tingting'", " ' Zhang_ W.'", " ' Zhang_ Wei'", " ' Zhang_ Wen'", " ' Zhang_ X. M.'", " ' Zhang_ Xi'", " ' Zhang_ Xian-En'", " ' Zhang_ Xiang'", " ' Zhang_ Xiang-Li-Lan'", " ' Zhang_ Xiangbin'", " ' Zhang_ Xiaonan'", " ' Zhang_ Xin'", " ' Zhang_ Xinsheng'", " ' Zhang_ Xue'", " ' Zhang_ Xuejun C.'", " ' Zhang_ Xuemin'", " ' Zhang_ Xumin'", " ' Zhang_ Xuming'", " ' Zhang_ Ya-Wei'", " ' Zhang_ Yan'", " ' Zhang_ Yan-ming'", " ' Zhang_ Yanfang'", " ' Zhang_ Yang'", " ' Zhang_ Yangjun'", " ' Zhang_ Yanli'", " ' Zhang_ Yi'", " ' Zhang_ Yong'", " ' Zhang_ Yong-Zhen'", " ' Zhang_ Yu-Zhen'", " ' Zhang_ Yun-Zhi'", " ' Zhang_ Yuzhen'", " ' Zhang_ Zhenfeng'", " ' Zhang_ Zheng'", " ' Zhang_ Zhi-Hong'", " ' Zhang_ Zhi-Ping'", " ' Zhang_ Zhiruo'", " ' Zhang_ Zhou'", " ' Zhao_ Chuanbo'", " ' Zhao_ Chunhui'", " ' Zhao_ Guangyu'", " ' Zhao_ Guo-Ping'", " ' Zhao_ Honglan'", " ' Zhao_ Hui'", " ' Zhao_ Jincun'", " ' Zhao_ Jingxian'", " ' Zhao_ Kui'", " ' Zhao_ Li'", " ' Zhao_ Min'", " ' Zhao_ Pyrear Su-Hui'", " ' Zhao_ Qi'", " ' Zhao_ Xiaoyu'", " ' Zhao_ Yan'", " ' Zhao_ Yang'", " ' Zhao_ Yanjie'", " ' Zhao_ Yingze'", " ' Zhao_ Yu-teng'", " ' Zhao_ Yuhui'", " ' Zhao_ Zhen-Dong'", " ' Zhao_ Zhendong'", " ' Zhao_ Zhengdong'", " ' Zhao_ Zhenhu'", " ' Zhao_ Zhi-Xin'", " ' Zhao_ Zhixin'", " ' Zhelyazkov_ Lyubomir'", " ' Zhen_ Bei'", " ' Zhen_ Weibin'", " ' Zheng_ B'", " ' Zheng_ BJ'", " ' Zheng_ Bo-Jian'", " ' Zheng_ Bo-jian'", " ' Zheng_ Bojian'", " ' Zheng_ Bo‐Jian'", " ' Zheng_ Congyi'", " ' Zheng_ Dexian'", " ' Zheng_ Fangliang'", " ' Zheng_ Han'", " ' Zheng_ Hong'", " ' Zheng_ Hua-Jun'", " ' Zheng_ Huan-Ying'", " ' Zheng_ Jian'", " ' Zheng_ Jiang'", " ' Zheng_ Kui'", " ' Zheng_ Xiao-Shuang'", " ' Zheng_ Yuan'", " ' Zheng_ Zhenhua'", " ' Zhong_ F.'", " ' Zhong_ Ming-Qi'", " ' Zhong_ Nanshan'", " ' Zhong_ Shuqing'", " ' Zhong_ Wei-Zhu'", " ' Zhong_ Yanxin'", " ' Zhou_ Dongsheng'", " ' Zhou_ Duan-Hua'", " ' Zhou_ En-Min'", " ' Zhou_ Haixia'", " ' Zhou_ Hong'", " ' Zhou_ Huanying'", " ' Zhou_ Hui-Qiong'", " ' Zhou_ Ji-yong'", " ' Zhou_ Jian'", " ' Zhou_ Jianfang'", " ' Zhou_ Jie'", " ' Zhou_ Jihua'", " ' Zhou_ Jingying'", " ' Zhou_ Ling'", " ' Zhou_ Lu'", " ' Zhou_ Panpan'", " ' Zhou_ Peng'", " ' Zhou_ Tongqing'", " ' Zhou_ Weimin'", " ' Zhou_ Ya'", " ' Zhou_ Yi-Hua'", " ' Zhou_ Yusen'", " ' Zhou_ Zhe'", " ' Zhu_ Guang-Jian'", " ' Zhu_ Haihong'", " ' Zhu_ Hongqing'", " ' Zhu_ Hua'", " ' Zhu_ Jiang'", " ' Zhu_ Lili'", " ' Zhu_ Ping'", " ' Zhu_ Qingyu'", " ' Zhu_ Quan K.'", " ' Zhu_ Quan Karen'", " ' Zhu_ Shiyan'", " ' Zhu_ Wen'", " ' Zhu_ X.'", " ' Zhu_ Xiaodong'", " ' Zhu_ Xiaowei'", " ' Zhu_ Xiu-Mei'", " ' Zhu_ Y.'", " ' Zhu_ Yan'", " ' Zhu_ Ying'", " ' Zhu_ Yuanfeng'", " ' Zhu_ Yun'", " ' Zhu_ Yunping'", " ' Zhu_ Yuwei'", " ' Zhu_ Zhao-Ling'", " ' Zhu_ Zhaoling'", " ' Zhuang_ Hui'", " ' Zhuang_ Min'", " ' Ziant_ D.'", " ' Ziebuhr_ John'", " ' Zielecki_ Florian'", " ' Zijderveld_ A.J.'", " ' Zillinger_ Thomas'", " ' Zimmer_ Gert'", " ' Zimmermann_ Katrin'", " ' Ziola_ Barry'", " ' Ziomek_ Edmund'", " ' Zoltick_ Philip W.'", " ' Zornetzer_ Gregory A.'", " ' Zornetzer_ Gregory'", " ' Zou_ Jianping'", " ' Zou_ Peng'", " ' Zou_ Tingting'", " ' Zou_ Xiao-zhong'", " ' Zou_ Xiaohui'", " ' Zou_ Yilong'", " ' Zumla_ Alimuddin I'", " ' Zumla_ Alimuddin I.'", " ' Zumla_ Alimuddin'", " ' Zuo_ Guoying'", " ' Zuurveen_ Stephanie J.'", " ' Zuñiga_ Sonia'", " ' Zúñiga_ S.'", " ' Zúñiga_ Sonia'", " ' Züst_ Roland'", " ' da Silva Filho_ Luiz Vicente Ribeiro Ferreira'", " ' de Almeida_ Marina Buarque'", " ' de Barros_ Iracema Nunes'", " ' de Bouck_ P.'", " ' de Carvalho_ Antônio Último'", " ' de Graaf_ Miranda'", " ' de Groot_ R. J.'", " ' de Groot_ Raoul J.'", " ' de Groot_ Raoul'", " ' de Haan_ C. A. M.'", " ' de Haan_ Cornelis A. M.'", " ' de Jong_ Alwin'", " ' de Jong_ C. E.'", " ' de Jong_ Jan C.'", " ' de Jong_ Ton'", " ' de Kruif_ John'", " ' de Lang_ Anna'", " ' de Leme_ Raquel Arruda'", " ' de Parscau_ L.'", " ' de Souza_ Cecília'", " ' de Souza_ M. S.'", " ' de Souza_ Mark S.'", " ' de Souza_ Sibele Pinheiro'", " ' de Swart_ Rik L.'", " ' de Vries_ Lisa A.'", " ' de Vries_ R. P.'", " ' de Vrieze_ G.'", " ' de Waal_ Leon'", " ' de Wit_ Emmie'", " ' de Wit_ Marèl'", " ' del Carmen Parquet_ Maria'", " ' del Palacio_ Lorena'", " ' del Rio_ Ana'", " ' dela Pena_ R. C.'", " ' el Mansouf_ Loubna'", " ' te Lintelo_ E. G.'", " ' te Lintelo_ E.'", " ' te Lintelo_ Eddie G.'", " ' te Lintelo_ Eddie'", " ' te Velthuis_ Aartjan J. W.'", " ' ten Dijke_ Peter'", " ' ter Meulen_ Jan'", " ' ter Meulen_ V.'", " ' ter Meulen_ Volker'", " ' van Amerongen_ Geert'", " ' van Balkom_ Bas W. M.'", " ' van Beek_ Janko'", " ' van Besien_ Koen'", " ' van Beurden_ Steven J.'", " ' van Beusechem_ V. W.'", " ' van Beusechem_ Victor W.'", " ' van Boheemen_ Sander'", " ' van Deun_ K.'", " ' van Dieren_ Brenda'", " ' van Doornum_ Gerard'", " ' van Doremalen_ Neeltje'", " ' van Dun_ Jessica M.'", " ' van Eijndhoven_ R.E.W.'", " ' van Geelen_ Albert'", " ' van Gent_ Michiel'", " ' van Goor_ H'", " ' van Hemert_ Martijn J.'", " ' van IJcken_ Wilfred F.'", " ' van Kasteren_ Puck B.'", " ' van Kasteren_ Puck'", " ' van Kuppeveld_ Frank J. M.'", " ' van Kuppeveld_ Frank J.'", " ' van Leenders_ Geert J. L. H.'", " ' van Lent_ Jan W. M.'", " ' van Maanen_ Kees'", " ' van Maren_ W. W. C.'", " ' van Nieuwkoop_ Stefan'", " ' van Riel_ Debby'", " ' van Scharrenburg_ G.J.M.'", " ' van Vliet_ Arno L. W.'", " ' van de Nes_ Paula S.'", " ' van den Brand_ Judith M. A.'", " ' van den Brand_ Judith'", " ' van den Brink_ Edward N'", " ' van den Hoogen_ Bernadette G.'", " ' van den Worm_ Sjoerd H. E.'", " ' van der Hoek_ L.'", " ' van der Hoek_ Lia'", " ' van der Meer_ Yvonne'", " ' van der Meulen_ Jannes'", " ' van der Most_ Robbert G.'", " ' van der Werf_ Sylvie'", " ' van der Zee_ Ruurd'", " ' van der Zeijst_ B.A.M.'", " ' von Brunn_ Albrecht'", " ' von Brunn_ Brigitte'", " ' von Grotthuss_ Marcin'", " ' von Hahn_ Thomas'", " ' von Itzstein_ Mark'", " ' von Laer_ Dorothee'", " ' von Reitzenstein_ Marcela'", " ' Álvarez_ Enrique'", " ' Österlund_ Pamela'", " ' Überla_ Klaus'", " 'A. Ali_ Mohamed'", " 'A. P. M. Perera_ Ranawaka'", " 'AKABANE_ Yoshihito'", " 'AL-Jahdali_ Hamdan'", " 'AL-Sahaf_ Ali'", " 'ASSAO_ Viviane Sisdelli'", " 'Aatola_ H.'", " 'Abd El Rahman_ Sahar'", " 'Abd El Wahed_ A.'", " 'Abdalla_ Osman'", " 'Abdallat_ Mohammad'", " 'Abdallh_ Sultan M.'", " 'Abdel Wareth_ Laila'", " 'Abdel-Hady_ D.M.'", " 'Abdel-Wareth_ Laila'", " 'Abdelzaher_ Mohammed'", " 'Abdirizak_ Fatima'", " 'Abdirizak_ Fatuma'", " 'Abdulaziz Linjawi_ Sabah'", " 'Abduljawad_ Mohammed'", " 'Abedi_ Glen R'", " 'Abedi_ Glen R.'", " 'Abedi_ Glen'", " 'Abi Said_ Mounir'", " 'Abiadh_ Awatef'", " 'Abo Shama_ Noura M.'", " 'Abou Elkheir_ Kheir'", " 'Abu Amer_ Wesal'", " 'Abu Elkheir_ Kheir'", " 'Abu-Obeida_ Ali'", " 'Abuelzein_ Eltayb'", " 'Acar_ Delphine D.'", " 'Acosta_ Luz P.'", " 'Adams_ David H.'", " 'Adams_ Gregory P.'", " 'Addie_ Diane D.'", " 'Aden_ Bashir'", " 'Adney_ Danielle'", " 'Adonov_ Anton'", " 'Adu-Sarkodie_ Yaw'", " 'Afifi_ Adel'", " 'Agbenyega_ Olivia'", " 'Aggarwal_ Sharad'", " 'Agha_ Riaz'", " 'Agha_ Sajida'", " 'Agius_ Michael P.'", " 'Agnes_ A.G.'", " 'Agnihotram_ Sudhakar'", " 'Agoti_ Charles N'", " 'Agrawal_ Anurodh Shankar'", " 'Agrawal_ Anurodh'", " 'Agudelo_ Juliet'", " 'Aguilella_ Vicente M.'", " 'Agwanda_ Bernard'", " 'Ahmad_ Faizan'", " 'Ahmadzadeh_ Jamal'", " 'Ahmed_ Asim A.'", " 'Ahn_ Ji Soo'", " 'Ahn_ Jin-Hyun'", " 'Ahola_ Tero'", " 'Ai_ Lele'", " 'Aidaroos_ Amal Y. Al'", " 'Aigerim_ Abdimadiyeva'", " 'Aikawa_ Masanori'", " 'Aird_ Daniel R.'", " 'Akatsuka_ Toshitaka'", " 'Akhmetzhanov_ Andrei R.'", " 'Akhter_ Nadeem'", " 'Akiyama_ Misuzu'", " 'Akkawi_ M.'", " 'Akkawi_ Mutaz'", " 'Akoulitchev_ Alexandre'", " 'Akram_ Arifa'", " 'Al Abdallat_ Mohammad Mousa'", " 'Al Ameri_ Asma'", " 'Al Asmari_ Mushabab'", " 'Al Bandar_ Zyad'", " 'Al Dhaheri_ Wafa'", " 'Al Dosari_ Kamel M.'", " 'Al Hajjar_ S.'", " 'Al Hammadi_ Z. M.'", " 'Al Hosani_ F. I.'", " 'Al Hosani_ Farida Ismail'", " 'Al Hosani_ Farida'", " 'Al Johani_ Sameera'", " 'Al Johany_ Sameera M.'", " 'Al Kaabi_ Nawal'", " 'Al Masri_ Malaki'", " 'Al Muhairi_ S. S. M.'", " 'Al Muhsen_ Saleh'", " 'Al Mulla_ M.'", " 'Al Mulla_ Mariam'", " 'Al Nsour_ Mohannad'", " 'Al Rabeeah_ Abdullah A.'", " 'Al Romaihi_ Hamad E.'", " 'Al Seraihi_ Amal'", " 'Al Shehri_ Anwar'", " 'Al Thani_ Asmaa A.'", " 'Al Thawadi_ Sahar'", " 'Al-Abdallat_ Mohammad Mousa'", " 'Al-Abdely_ H M'", " 'Al-Abdely_ Hail M.'", " 'Al-Abri_ S.S.'", " 'Al-Ahdal_ M N'", " 'Al-Ali_ Amein K.'", " 'Al-Ali_ Anfal Y.'", " 'Al-Dawood_ Abdulaziz'", " 'Al-Dorzi_ Hasan M.'", " 'Al-Doweriej_ Ali'", " 'Al-Enezi_ Farhan'", " 'Al-Falah_ Marwan'", " 'Al-Ghadier_ Hussein'", " 'Al-Gharabli_ Samer I.'", " 'Al-Hajri_ Mohammed Mohammed'", " 'Al-Hajri_ Mohammed'", " 'Al-Hameed_ Fahad M.'", " 'Al-Hameed_ Fahad'", " 'Al-Harthy_ K.S.'", " 'Al-Hofufi_ Ali'", " 'Al-Jabir_ Ahmed'", " 'Al-Jahdali_ Hamdan'", " 'Al-Jardani_ A.K.'", " 'Al-Khairy_ Khalid'", " 'Al-Khashan_ Hesham I.'", " 'Al-Kindi_ H.S.'", " 'Al-Maani_ A.S.'", " 'Al-Marri_ Salih A.'", " 'Al-Mawlawi_ Naema'", " 'Al-Mubarak_ Abdullah I.'", " 'Al-Mulla_ Hawaa'", " 'Al-Naeem_ Abdulmohsen'", " 'Al-Nafaie_ Awatif N.'", " 'Al-Nakhli_ Daifullah'", " 'Al-Nakib_ Widad'", " 'Al-Nazawi_ Mohammed'", " 'Al-Omari_ Awad'", " 'Al-Qahtani_ Manaf'", " 'Al-Qahtani_ Saad'", " 'Al-Rabeeah_ A.A.'", " 'Al-Rehily_ Sanaa S.'", " 'Al-Romaihi_ Hamad E.'", " 'Al-Rubaish_ Abdullah M.'", " 'Al-Salmi_ Hanadi S.'", " 'Al-Shaqsi_ K.H.'", " 'Al-Sultan_ Mohamed'", " 'Al-Taher_ Abdulla'", " 'Al-Tawfiq_ J.A.'", " 'Al-Tawfiq_ Jaffar A.'", " 'Al-Thani_ Mohamed'", " 'Al-Turkistani_ Hanan H.'", " 'Al-Zahrani_ Ali'", " 'AlHajri_ Farhoud'", " 'AlHajri_ Mohd M.'", " 'AlHakeem_ Rafat'", " 'AlHetheel_ AbdulKarim F.'", " 'AlJohani_ Sameera Mohammed'", " 'AlJohani_ Sameera'", " 'AlJumaah_ Suliman'", " 'AlMofada_ Saleh'", " 'AlMohaimeed_ Sulaiman'", " 'AlRabiah_ F.A.'", " 'AlThawadi_ Sahar'", " 'Alabdely_ Hail M.'", " 'Alagaili_ Abdulaziz N.'", " 'Alahmadi_ Bayan'", " 'Alahmadi_ Lama'", " 'Alahmadi_ Sabah'", " 'Alaklobi_ Faisal'", " 'Alam_ Ahmed Nawsher'", " 'Alami_ Negar N.'", " 'Alamoudi_ Ruba'", " 'Alamri_ Aref Ali'", " 'Alamri_ Sultan'", " 'Alanazi_ Khalid H.'", " 'Alanazi_ Marzouqa'", " 'Alandonisi_ Munzir M.'", " 'Alaqeel_ Mody'", " 'Alassia_ Martín'", " 'Alazawy_ Amer'", " 'Alba_ Anna'", " 'Albalawi_ Eman'", " 'Albarrak_ A.'", " 'Albarrak_ Ali M.'", " 'Alberca_ Berta'", " 'Albina_ Denise'", " 'Alborali_ Giovanni'", " 'Albuali_ Waleed H.'", " 'Alcaraz_ Antonio'", " 'Alchin_ John D.'", " 'Aldabbagh_ Souhaib'", " 'Aldawood_ Abdulaziz S.'", " 'Alderton_ David'", " 'Aldosari_ Kamel'", " 'Aleman_ M.'", " 'Alenazi_ Thamer H.'", " 'Alenius_ Stefan'", " 'Alfieri_ Alice F.'", " 'Alfieri_ Amauri A.'", " 'Alfousan_ Faisal'", " 'Algaissi_ Abdullah'", " 'Algarni_ Homoud S.'", " 'Algarni_ Homoud'", " 'Alghamdi_ Amenah'", " 'Alghamdi_ Khalid M.'", " 'Alghamdi_ Mohammed G.'", " 'Algwizani_ Abdullah'", " 'Alhajri_ Farhoud'", " 'Alhakeem_ R.F.'", " 'Alhakeem_ Raafat F.'", " 'Alhakeem_ Raafat'", " 'Alhakeem_ Rafat F.'", " 'Alhammadi_ Mohammad A.'", " 'Alharby_ Khalid D.'", " 'Alhassan_ S.'", " 'Alhazzani_ Waleed'", " 'Alhindi_ Hanan'", " 'Ali_ Mansoor'", " 'Ali_ Mohamed A.'", " 'Ali_ Mohamed Abd Elghafour'", " 'Ali_ Sami Sheikh'", " 'Aliberti_ A.'", " 'Alison Lee_ Pei-Yu'", " 'Aljerian_ Nawfal'", " 'Aljuhani_ Sameera'", " 'Alkahtani_ Saad'", " 'Alkarar_ Ali'", " 'Alkhallawi_ Mohammed'", " 'Alkhamis_ Abdulrahim M.'", " 'Alkharsah_ Khaled R.'", " 'Allal_ Lotfi'", " 'Allan_ G.M.'", " 'Allen Chan_ K.C.'", " 'Allen_ Claire E.'", " 'Allen_ Elizabeth'", " 'Allen_ Jonathan E.'", " 'Allgäuer_ Eva'", " 'Almahallawi_ Maher S.'", " 'Almajhdi_ F.N.'", " 'Almajhdi_ Fahad N.'", " 'Almarashi_ Abdulatif'", " 'Almasri_ Malak M.'", " 'Almathen_ Faisal'", " 'Almazan_ Guillermina'", " 'Almazroa_ Mohammad A.'", " 'Almazán_ Fernando'", " 'Almeida_ Marcius da Silva'", " 'Alnaeem_ Abdelmohsen'", " 'Alnaeem_ Abdulmohsen'", " 'Alotaibi_ Badriah'", " 'Aloudah_ Nouf M.'", " 'Alqahtani_ Abdulrahman S.'", " 'Alqahtani_ Fulwah Y.'", " 'Alqahtani_ S.'", " 'Alqasrawi_ Sultan'", " 'Alraddadi_ Basem'", " 'Alraddadi_ Rajaa'", " 'Alraihan_ Naif'", " 'Alrashedi_ Hasan'", " 'Alrwashdeh_ Mu’men'", " 'Alsaab_ Hanan'", " 'Alsafi_ Zaid'", " 'Alsahafi_ Abdullah J.'", " 'Alsalamah_ Majid A.'", " 'Alsanouri_ Tarek'", " 'Alserehi_ Haleema A.'", " 'Alshamsi_ Fayez'", " 'Alsharef_ Ali A.'", " 'Alsharef_ Ali Abraheem'", " 'Alshrari_ Ahmed S.'", " 'Alshukairi_ Abeer N.'", " 'Alshukairi_ Abeer'", " 'Alsobayel_ Hana'", " 'Alsolamy_ Sami'", " 'Alsubaie_ S.'", " 'Alsubhi_ Tagreed L.'", " 'Alsulami_ Abdulmoatani'", " 'Altawalah_ Haya'", " 'Altayeb_ Juhaina'", " 'Alter_ Hadar'", " 'Alterson_ Harold'", " 'Althaqafi_ Abdulhakeem O.'", " 'Altmeyer_ Ralf Marius'", " 'Altmeyer_ Ralf'", " 'Alturaiki_ Wael'", " 'Altuwaijri_ Talal A.'", " 'Alvarado_ D.E.'", " 'Alvarez_ Enrique'", " 'Alvarez_ Rene'", " 'Alvarez_ Xavier'", " 'Alwafi_ Osama M.'", " 'Alyahya_ Hamed A.'", " 'Alzahrani_ A'", " 'Alzahrani_ Abdullah G.'", " 'Alzahrani_ Abdullah'", " 'Alzahrani_ Ameera'", " 'Alzahrani_ Nojoom'", " 'Alzahrani_ Saud H.'", " 'Alzaid_ Saleh Zaid'", " 'Alzamil_ Fahad A.'", " 'Alzaydi_ Mohammed D.'", " 'Alzayer_ Maha'", " 'Alzoman_ Hind'", " 'Amari_ Shinji'", " 'Ambrosino_ Donna M.'", " 'Ameneiros_ Ramón Seage'", " 'Ami_ Yasushi'", " 'Amor_ Nabil M.S.'", " 'Amr_ Zuhair'", " 'An_ Nguyen Ngoc'", " 'Andersen_ Lauren'", " 'Anderson_ Austin'", " 'Anderson_ Barbara'", " 'Anderson_ Danielle E.'", " 'Anderson_ Jade'", " 'Anderson_ Kayla'", " 'Anderson_ Larry J.'", " 'Anderson_ Megan'", " 'Anderson_ Robert'", " 'Anderson_ Tara'", " 'Andeweg_ Arno C.'", " 'Andonov_ Anton'", " 'Andonova_ Maya'", " 'Anemüller_ Stefan'", " 'Angelini_ Megan M.'", " 'Anh_ P. H.'", " 'Ann_ So-Yun'", " 'Annan_ Augustina'", " 'Anselmi_ Francesca'", " 'Ansumana_ Rashid'", " 'Antoniadis_ Antonios'", " 'Antunes_ Jéssica R.'", " 'Antwi_ Christopher'", " 'Anwar_ Azlinda'", " 'Anwar_ F.'", " 'Aplin_ Robin T.'", " 'Aprea_ Giuseppe'", " 'Ar Gouilh_ Meriadeg'", " 'Arabi_ Yaseen M.'", " 'Arabi_ Yaseen'", " 'Arauz_ Sandra'", " 'Arbely_ E.'", " 'Arden_ Katherine E.'", " 'Aricescu_ A. Radu'", " 'Arkin_ I.T.'", " 'Arkin_ Isaiah T.'", " 'Armando_ Federico'", " 'Armbruster_ David W.'", " 'Armesto_ Maria'", " 'Arnold_ Eddy'", " 'Arnold_ Jamie J.'", " 'Arnold_ John C.'", " 'Arns_ Clarice W.'", " 'Arroyo_ L.G.'", " 'Arshad_ Siti S.'", " 'Arshad_ Siti Suri'", " 'Arslan_ Ahmet'", " 'Asa_ Sylvia L.'", " 'Asano_ K. M.'", " 'Asano_ Karen M.'", " 'Ashehri_ Saad Abdullah'", " 'Ashfaq_ U. A.'", " 'Asiri_ Abdullah'", " 'Asiri_ Sari I.'", " 'Assenberg_ Rene'", " 'Assiri_ A.'", " 'Assiri_ Abdullah M.'", " 'Assiri_ Abdullah'", " 'Atea_ Mohamed'", " 'Athmer_ Jeremiah'", " 'Atkinson_ Roscoe'", " 'Atmar_ Robert L.'", " 'Ato_ Manabu'", " 'Attar_ Roba'", " 'Au-Yeung_ Rex K. H.'", " 'Au_ Deborah Mun-Yee'", " 'Au_ Shannon W.N.'", " 'Aubert_ André'", " 'Audebert_ S.'", " 'August_ Thomas J.'", " 'Auperin_ Thierry C.'", " 'Auperin_ Thierry'", " 'Auwaerter_ P.G.'", " 'Avery_ Mitchell A.'", " 'Avril_ Alexis'", " 'Ayers_ M.'", " 'Aynaud_ J.M.'", " 'Azad_ Talat Mokhtari'", " 'Azevedo_ Marli S.P.'", " 'Azhar_ Esam I.'", " 'Azhar_ Esam Ibraheem'", " 'Azzouz-Morin_ Teldja N.'", " 'BANNAI_ Hiroshi'", " 'BELÁK_ S.'", " 'BRESSAN_ Gustavo Costa'", " 'BRIAN_ DAVID A.'", " 'Babcock_ Gregory J.'", " 'Babcook_ John S.'", " 'Babcook_ John'", " 'Babiuk_ Lorne A.'", " 'Badaracco_ A.'", " 'Badawee_ Mohammed'", " 'Badroon_ Nassrin A.'", " 'Bae_ Joon-Yong'", " 'Bae_ Yong-Soo'", " 'Baek_ Jin Yang'", " 'Baek_ Min-Won'", " 'Baer_ Patrick C.'", " 'Baez-Santos_ Yahira M.'", " 'Bafaqeeh_ Fahad'", " 'Bafaqih_ Hind'", " 'Bagato_ Ola'", " 'Baguelin_ Marc'", " 'Baharoon_ Salim'", " 'Bahloul_ Abdelkarim'", " 'Bai_ Donglu'", " 'Bai_ Hsin-I'", " 'Bai_ Ya-Duo'", " 'Bai_ Zhihong'", " 'Baig_ Kamran'", " 'Bailer_ Robert T.'", " 'Bailey_ Charles C.'", " 'Bailey_ Kevin W.'", " 'Bain_ Fairfield'", " 'Baker_ Lauren M.'", " 'Baker_ Lindsay'", " 'Baker_ R.J.'", " 'Baker_ S.'", " 'Baker_ Susan C.'", " 'Bakker_ Arjen Q'", " 'Baksh_ M. Fazil'", " 'Balasubramanian_ Sumitra'", " 'Balasuriya_ Udeni B.R.'", " 'Balboni_ Andrea'", " 'Baldanti_ Fausto'", " 'Balka_ Gyula'", " 'Balkhy_ H.'", " 'Balkhy_ Hanan H.'", " 'Balkhy_ Hanan'", " 'Ball_ R.'", " 'Ball_ T.Blake'", " 'Ballantine_ Melissa'", " 'Balzer_ Hans-Joerg'", " 'Banach_ Bridget S.'", " 'Bang_ J.H.'", " 'Bang_ Ji Hwan'", " 'Banjar_ Ayman'", " 'Banjar_ Weam M.'", " 'Bankamp_ Bettina'", " 'Bankhead_ Armand'", " 'Bannai_ Hiroshi'", " 'Bao_ Linlin'", " 'Bao_ Ngo Thanh'", " 'Baoying_ Huang'", " 'Barakat_ Maha'", " 'Barbe_ Mary F.'", " 'Bardenstein_ Svetlana'", " 'Barder_ Sunny'", " 'Bardossy_ Ana Cecilia'", " 'Bari_ A.'", " 'Baric_ Ralph S'", " 'Baric_ Ralph S.'", " 'Baric_ Ralph'", " 'Baril_ Laurence'", " 'Barnabé_ Ana C.S.'", " 'Barnard_ Dale L.'", " 'Barnum_ Samantha'", " 'Baron_ R.'", " 'Barr_ Jennifer'", " 'Barraza_ Scott J.'", " 'Barrera_ Maritza'", " 'Barrett_ P. Noel'", " 'Barros_ Iracema N.'", " 'Barry_ M.'", " 'Barry_ Vaughn'", " 'Barta_ J.R.'", " 'Bartkowska‐Sniatkowska_ Alicja'", " 'Bartkuhn_ Marek'", " 'Bartlam_ Mark'", " 'Bartol_ J.'", " 'Bartos_ Chris'", " 'Bartos_ Christopher'", " 'Baseler_ Laura'", " 'Basler_ Colin'", " 'Basode_ Vinod Kumar'", " 'Basso_ Walter'", " 'Baster_ Zbigniew'", " 'Bastien_ Nathalie'", " 'Bates_ Matthew'", " 'Bates_ Paul'", " 'Batool_ Maria'", " 'Battaile_ Kevin P.'", " 'Battilani_ Mara'", " 'Batéjat_ Christophe'", " 'Baule_ Claudia'", " 'Baumert_ Thomas F.'", " 'Baumgartner_ Walter'", " 'Baumgärtner_ Wolfgang'", " 'Bavari_ Sina'", " 'Bawakid_ Khalid O.'", " 'Bawayan_ Mayada F.'", " 'Bayoumi_ Faisal'", " 'Bayraktar_ Recep'", " 'Beall_ Anne'", " 'Beard_ R. Suzanne'", " 'Becares_ Martina'", " 'Beck_ Joan R.'", " 'Becker_ M.M.'", " 'Becker_ Michelle M.'", " 'Becker_ Stephan'", " 'Bedini_ B.'", " 'Beer_ Karlyn'", " 'Beer_ Martin'", " 'Begaye_ Adrian'", " 'Begeman_ Lineke'", " 'Behbehani_ Nasser'", " 'Bekker_ C.P.J.'", " 'Bekker_ Cornelis P.J.'", " 'Bell_ Michael'", " 'Bell_ Peter'", " 'Bellacicco_ Anna Lucia'", " 'Bellei_ Nancy'", " 'Bellini_ William J.'", " 'Belouzard_ Sandrine'", " 'Belyavskaya_ Elena'", " 'Belák_ Sándor'", " 'Ben Embarek_ Peter Karim'", " 'BenSalah_ Afif'", " 'Benetka_ Viviane'", " 'Bensaid_ Albert'", " 'Bensalah_ O. K. A.'", " 'Bereagesh_ Samar Ahmad'", " 'Berends_ Alinda J.'", " 'Berg_ Mikael'", " 'Berger_ Sherri'", " 'Bergmann_ Cornelia C.'", " 'Berhane_ Yohannes'", " 'Berkhout_ Ben'", " 'Bermingham_ Alison'", " 'Bernard_ Kristen A.'", " 'Bernard_ S.'", " 'Bernbaum_ John G.'", " 'Berndtsson_ Louise T.'", " 'Bernini_ Andrea'", " 'Berriatua_ E.'", " 'Berrow_ Nick'", " 'Berry_ Jody D.'", " 'Berry_ Jody'", " 'Bertoletti_ Antonio'", " 'Bertolotti_ Luigi'", " 'Bertram_ Stephanie'", " 'Bertulfo_ Joseph'", " 'Bestebroer_ Theo M.'", " 'Bett_ Anne'", " 'Betton_ Jean-Michel'", " 'Beuerlein_ Knut'", " 'Beugeling_ Corrine'", " 'Beushausen_ Sven'", " 'Bhella_ David'", " 'Bhuju_ Sabin'", " 'Bi_ Yingzuo'", " 'Bian_ Chao'", " 'Bickerton_ Erica'", " 'Bielefeldt-Ohmann_ Helle'", " 'Biggs_ Holly M'", " 'Biggs_ Holly M.'", " 'Biggs_ Holly'", " 'Bikkavilli_ Rama Kamesh'", " 'Bilbao_ G.'", " 'Billi_ Monica'", " 'Bin Saeed_ Abdul Aziz'", " 'Bin Saeed_ Abdulaziz'", " 'BinSaeed_ A'", " 'Binder_ Alison M.'", " 'Binger_ Tabea'", " 'Binh_ Nguyen Thi'", " 'Binns_ M.M.'", " 'Binns_ Matthew M.'", " 'Birch_ Chris'", " 'Birrell_ Paul'", " 'Bishop_ Alexandra'", " 'Blair_ Patrick J'", " 'Blakqori_ Gjon'", " 'Blikslager_ Anthony T.'", " 'Blomberg_ Jonas'", " 'Blomqvist_ S.'", " 'Blomström_ Anne-Lie'", " 'Bloys_ Alison J'", " 'Blyn_ Lawrence B.'", " 'Boabaid_ Fabiana M.'", " 'Bock_ Kevin W.'", " 'Boddington_ Nicola L.'", " 'Boeckh_ Michael'", " 'Bogaards_ Johannes A'", " 'Bogaardt_ Carlijn'", " 'Bohannon_ J. Kyle'", " 'Bollati_ Michela'", " 'Bolles_ Meagan'", " 'Bollinger_ Laura'", " 'Boltz_ Dutch'", " 'Boni_ Maciej F.'", " 'Bonilauri_ Paolo'", " 'Boons_ Geert-Jan'", " 'Booth_ Tim F.'", " 'Booth_ Timothy F.'", " 'Borca_ M.V.'", " 'Bordignon_ Claudio'", " 'Borduin_ Virginia'", " 'Borel_ N'", " 'Borg_ Olivia'", " 'Bornemann_ Jennifer'", " 'Bornstein_ Josh'", " 'Bornstein_ Set'", " 'Bosch_ B.-J.'", " 'Bosch_ Berend Jan'", " 'Bosch_ Berend-Jan'", " 'Boshart_ Michael'", " 'Bosis_ Samantha'", " 'Bottazzi_ Maria Elena'", " 'Bottreau_ E.'", " 'Bouchama_ Abderrezak'", " 'Boucher_ Jean-Marc'", " 'Boursnell_ Michael E.G.'", " 'Boutolleau_ D.'", " 'Bouvet_ Mickael'", " 'Boué_ Franck'", " 'Bowden_ Fern'", " 'Bowen_ Michael D.'", " 'Bowen_ Richard A.'", " 'Bowen_ Richard'", " 'Bower_ Willie'", " 'Boyer_ Julie L.'", " 'Boyle_ John F.'", " 'Boynton_ Tye O.'", " 'Braack_ Leo'", " 'Bracci_ Luisa'", " 'Brack-Werner_ Ruth'", " 'Bradbury_ J.'", " 'Bragazzi_ Nicola Luigi'", " 'Brandão_ P. E.'", " 'Brandão_ Paulo E.'", " 'Brass_ Abraham L.'", " 'Braun_ Jan Matthias'", " 'Braverman_ Alan S.'", " 'Breborowicz_ Anna'", " 'Bredenbee_ Peter J.'", " 'Bredenbeek_ Peter J.'", " 'Bresee_ Joseph'", " 'Brian_ David A.'", " 'Bricogne_ Gerard'", " 'Bricogne_ Gérard'", " 'Brierley_ Ian'", " 'Brierley_ Liam'", " 'Briese_ Thomas'", " 'Brim_ T.A.'", " 'Brison_ E.'", " 'Britton_ Paul'", " 'Brooks_ Gavin'", " 'Brooks_ Harriet W.'", " 'Brossmer_ Reinhard'", " 'Brotons_ G.'", " 'Brotons_ Guillaume'", " 'Brouard_ J.'", " 'Brouard_ Jacques'", " 'Brown_ Clive'", " 'Brown_ Eric D.'", " 'Brown_ T.D.K.'", " 'Brown_ T.David K.'", " 'Brownlie_ Joe'", " 'Brownstein_ J S'", " 'Brunham_ Robert C.'", " 'Brusic_ Vladimir'", " 'Bruzzone_ Roberto'", " 'Bryan_ T.A.'", " 'Bryant_ J. E.'", " 'Bryson_ D.G.'", " 'Brühl_ Peter'", " 'Bu_ Dongbo'", " 'Bu_ Wenjun'", " 'Buchmeier_ M.J.'", " 'Buchmeier_ Michael J.'", " 'Budaszewski_ Renata F.'", " 'Budd_ Alicia'", " 'Budzilowicz_ Carol'", " 'Buigut_ Jennifer'", " 'Bukamal_ Nazar'", " 'Bullido_ María J.'", " 'Bullis_ B.'", " 'Bunga_ Sudhir'", " 'Buonavoglia_ C'", " 'Buonavoglia_ C.'", " 'Buonavoglia_ Canio'", " 'Buonavoglia_ D.'", " 'Buonavoglia_ Domenico'", " 'Burgess_ Timothy H.'", " 'Burguière_ Ana M'", " 'Burimuah_ Vitus'", " 'Burk_ Robin'", " 'Burke_ Rachel'", " 'Burke_ Stephen'", " 'Burmistrz_ Michał'", " 'Burns_ Erin'", " 'Burns_ P.'", " 'Bushmaker_ Trenton'", " 'Butany_ Jagdish'", " 'Butler_ Emily'", " 'Butler_ Jay'", " 'Butterworth_ K.'", " 'Byarugaba_ Denis K.'", " 'Byrd_ Lauren A.'", " 'Byun_ Young Ho'", " 'Bzowska_ Monika'", " 'Báez-Santos_ Yahira M.'", " 'Bálint_ Ádám'", " 'Bárcena_ Montserrat'", " 'CASTRO_ RAYMOND F.'", " 'CHANG_ RUEY-YI'", " 'Cagliani_ Rachele'", " 'Cai_ Jian-Piao'", " 'Cai_ Lin'", " 'Cai_ Lun'", " 'Cai_ Weijia'", " 'Cai_ Yong'", " 'Caidi_ Hayat'", " 'Cakmak_ Ecir Ali'", " 'Calabuig_ Marisa'", " 'Caldwell_ Brian'", " 'Caliari_ D.'", " 'Callahan_ Michael V'", " 'Callaway_ Justin'", " 'Callendret_ Benoît'", " 'Callison_ Julie'", " 'Callison_ Scott A.'", " 'Camero_ M'", " 'Cameron_ Cheryl M.'", " 'Cameron_ Cheryl'", " 'Cameron_ Craig E.'", " 'Cameron_ Mark J.'", " 'Cameroni_ Elisabetta'", " 'Campanini_ G.'", " 'Campanini_ Giulia'", " 'Campbell_ James I'", " 'Campolo_ Marco'", " 'Canal_ Cláudio W.'", " 'Canard_ B.'", " 'Canard_ Bruno'", " 'Canducci_ Filippo'", " 'Canton_ J.'", " 'Canton_ Javier'", " 'Cantoni_ Anna M'", " 'Cantrell_ Russell'", " 'Cao_ Aoneng'", " 'Cao_ B.'", " 'Cao_ Chao-Yang'", " 'Cao_ Cheng'", " 'Cao_ Jie'", " 'Cao_ Jingxin'", " 'Cao_ Ju-Tian'", " 'Cao_ Ming-mei'", " 'Cao_ Wu-Chun'", " 'Cao_ Ying-Li'", " 'Cao_ Yongchang'", " 'Cao_ Yujuan'", " 'Capobianchi_ M.R.'", " 'Cappiello_ G.'", " 'Cappuccio_ Javier'", " 'Caramelli_ Maria'", " 'Carbajo-Lozoya_ Javier'", " 'Cardemil_ Cristina'", " 'Cardoso_ T.C.'", " 'Carletti_ Silvia'", " 'Carmichael_ L.E'", " 'Caro_ Valérie'", " 'Carrillo_ C.'", " 'Carrique‐Mas_ J. J.'", " 'Carson_ Gail'", " 'Carter_ Lester'", " 'Carvalho_ Carlos F.A.'", " 'Carvalho_ Paulo'", " 'Casais_ Rosa'", " 'Casasnovas_ José M.'", " 'Caserta_ Leonardo C.'", " 'Castagnaro_ M.'", " 'Castagnaro_ Massimo'", " 'Castaño-Rodriguez_ C.'", " 'Castaño-Rodriguez_ Carlos'", " 'Cates_ Jordan'", " 'Catton_ Mike'", " 'Cauchemez_ Simon'", " 'Caumes_ E.'", " 'Causarono_ Vincenza'", " 'Cavaliere_ Nicola'", " 'Cavalli_ Alessandra'", " 'Cavanagh_ Dave'", " 'Cavicchioli_ L.'", " 'Cavitt_ Sheana'", " 'Cebra_ C.K.'", " 'Cechetto_ Jonathan D.'", " 'Ceciliani_ Fabrizio'", " 'Cent_ Anne'", " 'Ceriani_ Juan E.'", " 'Cervantes-Barragan_ Luisa'", " 'Cervantes-Barragán_ Luisa'", " 'Cetron_ Marty'", " 'Cha_ Ran-hui'", " 'Chae_ Joon-Seok'", " 'Chaipan_ Chawaree'", " 'Chaiyes_ Aingorn'", " 'Challapilli_ Sneha Basavaraj'", " 'Chalmers_ S'", " 'Chamberlain_ Peter'", " 'Chan_ Anthony TC'", " 'Chan_ C.S. Michael'", " 'Chan_ Ceci W.L.'", " 'Chan_ Chak Ming'", " 'Chan_ Chi-Ping'", " 'Chan_ Ching-Ping'", " 'Chan_ Daphne Z.L.'", " 'Chan_ H.Y. Edwin'", " 'Chan_ Henry L.Y'", " 'Chan_ Hilda W.H.'", " 'Chan_ Ho Yin Edwin'", " 'Chan_ Ivy Hau-Yee'", " 'Chan_ Jasper FW'", " 'Chan_ Jasper Fuk-Woo'", " 'Chan_ Jim K.H.'", " 'Chan_ K.H.'", " 'Chan_ Kelvin Yuen-Kwong'", " 'Chan_ Kok Gan'", " 'Chan_ Kwok Hung'", " 'Chan_ Kwok-Hung'", " 'Chan_ Kwok-hung'", " 'Chan_ P.K.S.'", " 'Chan_ Paul K.'", " 'Chan_ Paul K.S'", " 'Chan_ Paul K.S.'", " 'Chan_ Paul KS'", " 'Chan_ Paul Kay-Sheung'", " 'Chan_ Rickjason C. W.'", " 'Chan_ Samuel MS'", " 'Chan_ Vera Sau-Fong'", " 'Chan_ Wai-Sing'", " 'Chan_ Wing-Lim'", " 'Chan_ Wing-Man'", " 'Chan_ Wood-Yee'", " 'Chan_ Yuk On'", " 'Chandler_ Felicity D.'", " 'Chandrasekaran_ Ananth'", " 'Chang_ Chan-Hua'", " 'Chang_ Cheng-Hsien'", " 'Chang_ Chi-Fon'", " 'Chang_ Chi-You'", " 'Chang_ Chung-Te'", " 'Chang_ Chung-ke'", " 'Chang_ Fang-Rong'", " 'Chang_ Gu-Gang'", " 'Chang_ Guohui'", " 'Chang_ Jun'", " 'Chang_ Kung-Yao'", " 'Chang_ Kyeong-Ok'", " 'Chang_ Mau-Sun'", " 'Chang_ Ming-Fu'", " 'Chang_ Ruijie'", " 'Chang_ Shan-Chwen'", " 'Chang_ Shin C.'", " 'Chang_ Wei-Shan'", " 'Chang_ Yi-Wei'", " 'Chang_ Yu-Ming'", " 'Chang_ Yuan-hsiang'", " 'Channappanavar_ Rudragouda'", " 'Chao_ Yu-Chan'", " 'Chareesaen_ Chaiyaporn'", " 'Charite_ Jeroen'", " 'Charlett_ Andre'", " 'Charneau_ Pierre'", " 'Chase_ Peter'", " 'Chase‐Topping_ Margo'", " 'Chatham-Stephens_ Kevin'", " 'Chatham-Stevens_ Kevin'", " 'Chatterjee_ Amarnath'", " 'Chau_ Nguyen Thi Song'", " 'Chau_ Tai-Nin'", " 'Chau_ Tran Hoang Minh'", " 'Che_ Xiao-Yan'", " 'Che_ Xiaoyu'", " 'Che_ Yanchun'", " 'Chea_ Nora'", " 'Cheema_ Ejaz'", " 'Chehab_ May'", " 'Cheley_ Steve'", " 'Chen-Harris_ Haiyin'", " 'Chen_ Bo'", " 'Chen_ Chao-Hsien'", " 'Chen_ Cheng'", " 'Chen_ Chi-Min'", " 'Chen_ Chiao-Che'", " 'Chen_ Ching-Tang'", " 'Chen_ Dehui'", " 'Chen_ Guang'", " 'Chen_ Guanhua'", " 'Chen_ Hao'", " 'Chen_ Hong'", " 'Chen_ Honglin'", " 'Chen_ Hongying'", " 'Chen_ Hour-Young'", " 'Chen_ Hui-Dong'", " 'Chen_ Hui-Ling'", " 'Chen_ Hui-Wen'", " 'Chen_ Jaw-Chyun'", " 'Chen_ Ji-Ming'", " 'Chen_ Jian'", " 'Chen_ Jian-Fei'", " 'Chen_ Jianfei'", " 'Chen_ Jiapei'", " 'Chen_ Jiming'", " 'Chen_ Jin-Ping'", " 'Chen_ Jinding'", " 'Chen_ Jing'", " 'Chen_ Kaixian'", " 'Chen_ L.'", " 'Chen_ Lan'", " 'Chen_ Li'", " 'Chen_ Liangan'", " 'Chen_ Ling-Ling'", " 'Chen_ Luni'", " 'Chen_ P.-J.'", " 'Chen_ Pei-Jan'", " 'Chen_ Pei-Jer'", " 'Chen_ Qing'", " 'Chen_ Quan-Jiao'", " 'Chen_ Runsheng'", " 'Chen_ Saijuan'", " 'Chen_ Shey-Ying'", " 'Chen_ Show-Li'", " 'Chen_ Shuai'", " 'Chen_ Shui-Tsung'", " 'Chen_ Shuliang'", " 'Chen_ Shyh-Fong'", " 'Chen_ Song-Hua'", " 'Chen_ Ting-Chih'", " 'Chen_ Tom Shieh-Shung'", " 'Chen_ Weijun'", " 'Chen_ Wei‐Ju'", " 'Chen_ Wu'", " 'Chen_ Xiaojuan'", " 'Chen_ Xin'", " 'Chen_ Yan-Mei'", " 'Chen_ Yating'", " 'Chen_ Ye-Lin'", " 'Chen_ Yee-Chun'", " 'Chen_ Yi-Ming Arthur'", " 'Chen_ Yi-Wen'", " 'Chen_ Ying'", " 'Chen_ Yingzhu'", " 'Chen_ Yiwei'", " 'Chen_ Yixin'", " 'Chen_ You-Ting'", " 'Chen_ Yu'", " 'Chen_ Yuehong'", " 'Chen_ Yuqiu'", " 'Chen_ Ze'", " 'Chen_ Zeliang'", " 'Chen_ Zhi-wei'", " 'Chen_ Zhiwei'", " 'Chen_ Zhongbin'", " 'Chen_ Zhu'", " 'Chenard_ Gilles'", " 'Cheng_ Aaron'", " 'Cheng_ Allen C.'", " 'Cheng_ Genhong'", " 'Cheng_ Gregory'", " 'Cheng_ Hong'", " 'Cheng_ Kai-Wen'", " 'Cheng_ Pei-Wen'", " 'Cheng_ Qiu-Ying'", " 'Cheng_ Samuel M. S.'", " 'Cheng_ Shin-Ei'", " 'Cheng_ Shu-Chun'", " 'Cheng_ V.C.C.'", " 'Cheng_ Vincent C.C.'", " 'Cheng_ Yingyin'", " 'Cheng_ Z. S.'", " 'Cheng_ Zhen-Shun'", " 'Cheng_ Zhong-Shan'", " 'Cheon_ Shinhye'", " 'Cheong_ Hae-Kwan'", " 'Cheong_ Hee Jin'", " 'Cheong_ Hyang-Min'", " 'Cherney_ Maia M.'", " 'Cheung_ Andrew K.'", " 'Cheung_ Chung Y'", " 'Cheung_ Chung Yan'", " 'Cheung_ Chung-Yan'", " 'Cheung_ Jo LK'", " 'Cheung_ Randy C.F.'", " 'Cheung_ Wing-Tai'", " 'Chi_ Nguyen Thi Yen'", " 'Chi_ Xiaoli'", " 'Chia_ Adeline'", " 'Chia_ Jer-Ming'", " 'Chia_ Raymond'", " 'Chiang_ Jessica J.'", " 'Chiang_ Lien-Chai'", " 'Chiang_ Wen-Chu'", " 'Chiang_ Yen-Chieh'", " 'Chiang_ Yu-Ping'", " 'Chiapponi_ Chiara'", " 'Chibo_ Doris'", " 'Chiellini_ Stefano'", " 'Chien_ Chia-Hui'", " 'Chien_ Chung-Liang'", " 'Chikhlikar_ Priya'", " 'Chillag_ Zach'", " 'Chim_ Stephen SC'", " 'Chimuro_ Tomoyuki'", " 'Chin_ Alex W.H.'", " 'Chin_ Young-Won'", " 'Chiu_ Hua-Hao'", " 'Chiu_ Man Chun'", " 'Chiu_ Ming-Chi'", " 'Chiu_ Rossa W.K.'", " 'Chiu_ Rossa WK'", " 'Chiu_ Shu-Chun'", " 'Chiu_ Ya-Li'", " 'Chmura_ Aleksei A.'", " 'Cho_ Hae-Wol'", " 'Cho_ Kyoung-Oh'", " 'Cho_ N. H.'", " 'Cho_ Nam Hyuk'", " 'Cho_ Nam-Hyuk'", " 'Cho_ Sanghyun'", " 'Cho_ Sook Young'", " 'Cho_ Suh Young'", " 'Cho_ Sun Young'", " 'Cho_ Sung Im'", " 'Cho_ Sung-il'", " 'Choe_ Hyeryun'", " 'Choe_ Kang-Won'", " 'Choe_ Pyoeng Gyun'", " 'Choe_ Seoyun'", " 'Choi-Yi Lau_ Candy'", " 'Choi_ B.Y.'", " 'Choi_ Bo Youl'", " 'Choi_ H.J.'", " 'Choi_ J. A.'", " 'Choi_ J.-P.'", " 'Choi_ J.K.'", " 'Choi_ Jae-Phil'", " 'Choi_ Jong-Rak'", " 'Choi_ Kin-Wing'", " 'Choi_ Kyoung-Seong'", " 'Choi_ Min Joo'", " 'Choi_ Myung-Sik'", " 'Choi_ S.-M.'", " 'Choi_ S.-Y.'", " 'Choi_ Sangdun'", " 'Choi_ Seong Jin'", " 'Choi_ So-Young'", " 'Choi_ Su-Jin'", " 'Choi_ Sun Shim'", " 'Choi_ W.S.'", " 'Choi_ Y.H.'", " 'Choi_ Yook-Wah'", " 'Choi_ Yoon Hong'", " 'Chong_ Hyonyong'", " 'Chong_ Youhoon'", " 'Choo_ Hyunah'", " 'Chook_ Jack Bee'", " 'Chou_ Chi-Yuan'", " 'Chou_ Chih-Fong'", " 'Chou_ Kuo-Chen'", " 'Chou_ Shan-Yen'", " 'Choudhry_ Abdul Jamil'", " 'Chouljenko_ Vladimir N.'", " 'Chow_ Franklin WN'", " 'Chow_ K.H.'", " 'Chow_ Lu-Ping'", " 'Chow_ Vincent T'", " 'Chow_ Vincent T.K'", " 'Chow_ Vincent T.K.'", " 'Chowell_ Gerardo'", " 'Christensen_ Bryan'", " 'Chu_ Chaeshin'", " 'Chu_ Chen-Chung'", " 'Chu_ Chiu-Hui'", " 'Chu_ Chung-Ming'", " 'Chu_ Daniel K.W.'", " 'Chu_ Daniel KW'", " 'Chu_ Fuliang'", " 'Chu_ Helen Y'", " 'Chu_ Hin'", " 'Chu_ Victoria'", " 'Chu_ Yong-Kyu'", " 'Chua_ Ming Ming W.'", " 'Chua_ Ming Ming'", " 'Chuan_ Qin'", " 'Chuang_ Shang-Ju'", " 'Chubet_ Rick'", " 'Chuc_ Nguyen Thi Kim'", " 'Chueh_ Ling-Ling'", " 'Chughtai_ Abrar Ahmad'", " 'Chui_ Y.L.'", " 'Chun_ Aspen'", " 'Chun_ Byung Chul'", " 'Chun_ June Young'", " 'Chung_ Betty Y.-W.'", " 'Chung_ Chi Ryang'", " 'Chung_ Doo Ryeon'", " 'Chung_ Grace TY'", " 'Chung_ Ju-Young'", " 'Chung_ Myung Jin'", " 'Chung_ Yoon-Seok'", " 'Chuyen_ Nguyen Khac'", " 'Chénard_ Gilles'", " 'Ciejka_ Justyna'", " 'Ciesek_ Sandra'", " 'Cinatl_ Jindrich'", " 'Cino-Ozuna_ Ada G.'", " 'Cirone_ Francesco'", " 'Ciutti_ Arianna'", " 'Clark_ April K.'", " 'Clark_ Taane G'", " 'Clarke_ Kevin'", " 'Clasman_ Jozlyn R.'", " 'Clawson_ Michael L.'", " 'Clayton_ Tom'", " 'Clementi_ Massimo'", " 'Clementz_ Mark A.'", " 'Clerici_ Mario'", " 'Cleveland_ Angela'", " 'Cochrane_ Alan'", " 'Cockram_ C.S.'", " 'Cohen_ Cheryl'", " 'Cohen_ Max'", " 'Cohen_ Nicole'", " 'Cohen_ S.A.'", " 'Cohn_ Amanda'", " 'Colaianni_ Maria Loredana'", " 'Cole_ David K.'", " 'Coley_ Scott'", " 'Colgrove_ Robin'", " 'Colina_ Rodney'", " 'Collet_ M.'", " 'Collins_ Arlene R.'", " 'Collins_ Jennifer'", " 'Collins_ P. J.'", " 'Collins_ Richard A'", " 'Combredet_ Chantal'", " 'Comer_ James A.'", " 'Compans_ Richard W.'", " 'Conceição-Neto_ Nádia'", " 'Cong_ Yuwen'", " 'Connelly_ Stephen'", " 'Contamin_ Hugues'", " 'Cook_ Byron T.'", " 'Copps_ John'", " 'Corbett_ Kizzmekia S.'", " 'Cordioli_ Paolo'", " 'Cordón_ Ivan'", " 'Corman_ Victor M.'", " 'Corman_ Victor Max'", " 'Corradi_ Attilio'", " 'Corrand_ Léni'", " 'Corrente_ Marialaura'", " 'Corti_ Davide'", " 'Cossic_ Brieuc'", " 'Cotten_ Matthew'", " 'Cottrell_ Christopher A.'", " 'Couch_ Robert B.'", " 'Couch_ Ronald C.'", " 'Coutard_ Bruno'", " 'Cowling_ Benjamin J.'", " 'Cox_ Freek'", " 'Cox_ Manon'", " 'Crameri_ Gary'", " 'Cristina_ Juan'", " 'Cronier_ Joëlle'", " 'Crooke_ Stanley T.'", " 'Croville_ Guillaume'", " 'Crowe_ Brian'", " 'Crystal_ Ronald G.'", " 'Cua_ Daniel J.'", " 'Cui_ Jie'", " 'Cui_ Sheng'", " 'Culasso_ Paola'", " 'Cullinane_ Ann'", " 'Cunningham_ Andrew A.'", " 'Cuong_ Lam Chi'", " 'Cuong_ Vo Quoc'", " 'Curns_ Aaron'", " 'Cutts_ Todd'", " 'Cyr_ Terry'", " 'Czub_ Markus'", " 'Cáncer_ José L.'", " 'DOKI_ Tomoyoshi'", " 'Dabrowska_ Agnieszka'", " 'Dachraoui_ Fahmi'", " 'Dadras_ Mohhamadnasr'", " 'Dahl_ Rebecca M.'", " 'Dahl_ Rebecca'", " 'Dai_ Er-Hei'", " 'Dai_ Erhei'", " 'Dai_ Fa-Hui'", " 'Dai_ Jie'", " 'Dai_ Jun'", " 'Dai_ Mian'", " 'Dai_ Yu-Rou'", " 'Dalebout_ Tim J.'", " 'Dales_ Samuel'", " 'Daley_ Walter'", " 'Damalanka_ Vishnu C.'", " 'Dambach_ Donna M.'", " 'Danaher_ Patrick J.'", " 'Danesh_ Ali'", " 'Daniels_ J. Scott'", " 'Danisch_ Simon'", " 'Danmarwa_ Agom'", " 'Dann_ Charles E.'", " 'Danneels_ Adeline'", " 'Dar_ Osman'", " 'Das_ Rajat'", " 'Dasari_ Vishal'", " 'Daskalova_ Sasha M.'", " 'Daszak_ Peter'", " 'Davidson_ Andrew D.'", " 'Davidson_ Andrew'", " 'Davidson_ Irit'", " 'Davies_ Emma'", " 'Davies_ Marc'", " 'Davis_ Nicole M.'", " 'Davis_ Philip J.'", " 'Davlantes_ Elizabeth'", " 'Dawo_ Fufa'", " 'Dawood_ Halima'", " 'Dawson_ Eric'", " 'Dawson_ Patrick'", " 'Dawson_ Susan'", " 'Day_ Jeremy N.'", " 'Day_ Michael J'", " 'Day_ Michael J.'", " 'De Clercq_ Erik'", " 'De Martino_ Luisa'", " 'DeDiego_ Marta L.'", " 'DeGruccio_ Ann Marie'", " 'DeVries_ James R.'", " 'Dean_ Gregg A.'", " 'Debarnot_ Claire'", " 'Debbink_ Kari'", " 'Debouck_ P.'", " 'Decaro_ N'", " 'Decaro_ N.'", " 'Decaro_ Nicola'", " 'Decroly_ E.'", " 'Decroly_ Etienne'", " 'Dee_ Michael'", " 'Deijs_ Martin'", " 'Delaney_ Lisa'", " 'Delemazure_ J.'", " 'Deliveliotou_ Athanassia'", " 'Delverdier_ Maxence'", " 'Deming_ Damon J.'", " 'Deming_ Damon'", " 'Deming_ Meagan E.'", " 'Deng_ Fei'", " 'Deng_ Hongkui'", " 'Deng_ Lea'", " 'Deng_ Tong'", " 'Deng_ Wei'", " 'Deng_ Yao'", " 'Denison_ M.R.'", " 'Denison_ Mark R.'", " 'Dennis Lo_ YM'", " 'Desario_ Costantina'", " 'Deschambaul_ Yvon'", " 'Desforges_ Marc'", " 'Deubel_ Vincent'", " 'Devries_ James R.'", " 'Di Bello_ Antonio'", " 'Di Sarno_ Alessandra'", " 'Di Trani_ L.'", " 'Di Trani_ Livia'", " 'DiMaio_ Frank'", " 'Diamond_ Michael S.'", " 'Diancourt_ Laure'", " 'Dib_ Jean'", " 'Diep_ Nguyen Thi Ngoc'", " 'Digard_ Paul'", " 'Dijkman_ Ronald'", " 'Dillon_ Natalie'", " 'Dimitrov_ Dimiter S.'", " 'Dimitrova_ Maria'", " 'Dina_ J.'", " 'Dina_ Julia'", " 'Ding_ Chenxi'", " 'Ding_ Jianping'", " 'Ding_ Mingxiao'", " 'Ding_ Xiao'", " 'Dinman_ Jonathan D'", " 'Dinman_ Jonathan D.'", " 'Diprose_ Jonathan'", " 'Dirksen_ Kees'", " 'Dirson_ E.'", " 'Ditt_ Vanessa'", " 'Divers_ T.J.'", " 'Doan_ Yen Hai'", " 'Dobie_ Frederick'", " 'Dobrucki_ Jerzy'", " 'Dodd_ Kimberly A.'", " 'Doerr_ Hans W.'", " 'Doerr_ Hans Wilhelm'", " 'Doki_ Tomoyoshi'", " 'Dolezal_ Kelly A.'", " 'Dominguez_ Samuel R.'", " 'Donabedian_ Armen'", " 'Donahue_ Matthew'", " 'Donart_ Nathan'", " 'Dondo_ Alessandro'", " 'Dong_ Chenghong'", " 'Dong_ Hui'", " 'Dong_ J.'", " 'Dong_ Lian'", " 'Dong_ Nguyen'", " 'Dong_ Qing-Xi'", " 'Dong_ Qingming'", " 'Dong_ Shaozhong'", " 'Dong_ Yinqiao'", " 'Dong_ Zhihua'", " 'Donnadieu_ Cécile'", " 'Donovan_ Mary M.'", " 'Dorostkar_ Ruhollah'", " 'Douglas_ Madeline G.'", " 'Dove_ Brian K.'", " 'Dove_ Brian'", " 'Dowdle_ W.R.'", " 'Dowell_ Chad'", " 'Dowgier_ Giulia'", " 'Drabek_ Dubravka'", " 'Drader_ Jared J.'", " 'Dragomir_ Isabelle'", " 'Draker_ R.'", " 'Drebot_ Inga'", " 'Drebot_ Michael A'", " 'Drebot_ Michael A.'", " 'Drebot_ Michael'", " 'Drebot_ Mike'", " 'Drexler_ Jan F.'", " 'Drexler_ Jan Felix'", " 'Driemeier_ David'", " 'Droese_ Ben'", " 'Drosten_ Christian'", " 'Druce_ Julian'", " 'Du_ Jiang'", " 'Du_ Lanying'", " 'Du_ Zongmin'", " 'Duan_ Xijie'", " 'Dubin_ Grzegorz'", " 'Dubovi_ Edward J.'", " 'Dubuisson_ Jean'", " 'Ducatez_ Mariette F.'", " 'Duengkae_ Prateep'", " 'Duhamel_ Gerald E.'", " 'Duncker_ Patrick'", " 'Dung_ Nguyen Thanh'", " 'Dung_ Tran Thi Ngoc'", " 'Dunn_ John J.'", " 'Duquesne_ Véronique'", " 'Duquette_ Pierre'", " 'Durosinloun_ Abdulkareem'", " 'Durr_ Peter A.'", " 'Duson_ Griet'", " 'Dutta_ Ranjan'", " 'Dveksler_ G.S.'", " 'Dwyer_ Dominic E.'", " 'Dyal_ Jonathan'", " 'Dyda_ Amalie'", " 'Dzimianski_ John V.'", " 'Dörries_ R.'", " 'ENJUANES_ LUIS'", " 'Earnest_ Arul'", " 'Eaton_ Bryan T.'", " 'Ebensen_ Thomas'", " 'Ecker_ David J.'", " 'Eckerle_ Lance D.'", " 'Edamatsu_ Hiroki'", " 'Edenborough_ Kathryn M.'", " 'Edens_ William'", " 'Egberink_ H.F.'", " 'Egberink_ Herman F.'", " 'Egberink_ Herman'", " 'Eggler_ Aimee'", " 'Eichhorn_ W.'", " 'Eickmann_ Markus'", " 'Eidex_ Rachel'", " 'Einsele_ Hermann'", " 'Eisfeld_ Amie J.'", " 'Ejeeli_ Saleh'", " 'Ekkebus_ Reggy'", " 'El Bushra_ Hassan'", " 'El Hadi Mohamed_ Rania Ali'", " 'El Masry_ Ihab'", " 'El Masry_ Karim Medhat'", " 'El Nil_ Osman A.'", " 'El Saleh_ Feda'", " 'El Tahan_ Mohamed'", " 'El Zowalaty_ Mohamed E.'", " 'El-Kafrawy_ Sherif A.'", " 'El-Maghraby_ Mamdouh M.'", " 'El-Sayed_ Ahmed M.'", " 'El-Shesheny_ Rabeh'", " 'El-Taweel_ Ahmed N'", " 'El-Taweel_ Ahmed'", " 'Eldho_ Nadukkudy V.'", " 'Elfaki_ Faiz'", " 'Elfenbein_ Johanna R.'", " 'Elia_ G.'", " 'Elia_ Gabriella'", " 'Elizabeth_ Shyna K'", " 'Elizabeth_ Shyna K.'", " 'Elkheir_ K. A.'", " 'Elkordy_ Maha A.'", " 'Elledge_ Stephen J.'", " 'Ellerbrok_ Heinz'", " 'Ellington_ Andrew D.'", " 'Elliot_ Ruth'", " 'Elowe_ Nadine H.'", " 'Elrobh_ Mohamed'", " 'Elsaleh_ F. N.'", " 'Elsayed_ E. A.'", " 'Elsokary_ Basma'", " 'Eltahir_ Y. M.'", " 'Eltis_ Lindsay D.'", " 'Elzayat_ Mahmoud Tarek'", " 'Elzein_ Fatehi'", " 'Emanuelson_ U.'", " 'Emanuelson_ Ulf'", " 'Emmanouil_ Mary'", " 'Endoh_ Misaki'", " 'Englund_ Janet A'", " 'Englund_ Lena'", " 'Enjuanes_ L.'", " 'Enjuanes_ Luis'", " 'Epstein_ Jonathan H'", " 'Epstein_ Jonathan H.'", " 'Epstein_ Lauren'", " 'Erdman_ D.'", " 'Erdman_ Dean D'", " 'Erdman_ Dean D.'", " 'Erdman_ Dean'", " 'Erfle_ Volker'", " 'Eriksson_ Klara Kristin'", " 'Erlandson_ Karl J.'", " 'Erles_ Kerstin'", " 'Erster_ Oran'", " 'Escribano_ J.M.'", " 'Escriou_ Nicolas'", " 'Eshoo_ Mark W.'", " 'Esper_ Frank'", " 'Espina_ Noel'", " 'Esposito_ Susanna'", " 'Estivariz_ Concepcion F.'", " 'Euler_ Tatjana'", " 'Eun_ Sang Jun'", " 'Eusebio_ Macete'", " 'Evans_ Mary'", " 'Evans_ Samantha'", " 'Evans_ Sharon'", " 'Evermann_ Jim'", " 'Ewart_ Gary'", " 'FIETTO_ Juliana Lopes Rangel'", " 'FUKUSHI_ Shuetsu'", " 'Faccini_ Silvia'", " 'Fagan_ Ryan'", " 'Fagbo_ Shamsudeen F.'", " 'Fahle_ Gary'", " 'Failing_ Klaus'", " 'Fairchok_ Mary P.'", " 'Fakhouri_ Waad Ghassan'", " 'Falcón_ Ana'", " 'Fall_ Nils'", " 'Falzarano_ Darryl'", " 'Fan_ Baoxing'", " 'Fan_ Bing'", " 'Fan_ Eddy'", " 'Fan_ G. H.'", " 'Fan_ Hongwei'", " 'Fan_ Hui'", " 'Fan_ Keqiang'", " 'Fan_ Rachel Y. Y.'", " 'Fan_ Shufang'", " 'Fan_ Wen-Sheng'", " 'Fan_ Yi-Pin'", " 'Fang_ Cheng'", " 'Fang_ Chi-Tai'", " 'Fang_ Qing'", " 'Fang_ Shou Guo'", " 'Fang_ Shouguo'", " 'Fang_ Vicky J.'", " 'Fang_ Ying'", " 'Fang_ Yuan'", " 'Fang_ Zih-Syun'", " 'Faouri_ S.'", " 'Farag_ Elmoubasher A. B. A.'", " 'Farag_ Elmoubasher A.'", " 'Farag_ Elmoubasher A.B.A.'", " 'Farcas_ Gabriella A.'", " 'Farrar_ Jeremy J'", " 'Farris_ Kevin'", " 'Farsang_ Attila'", " 'Farsani_ Seyed Mohammad Jazaeri'", " 'Farzan_ Michael'", " 'Fehr_ Anthony R.'", " 'Feikin_ Daniel R.'", " 'Feinstone_ Stephen M.'", " 'Feldmann_ Friederike'", " 'Feldmann_ Heinz'", " 'Feldstein_ Leora'", " 'Feng_ Jiannan'", " 'Feng_ Li'", " 'Feng_ Yan'", " 'Feng_ Youjun'", " 'Ferguson_ David'", " 'Fernandez-Delgado_ Raul'", " 'Fernando_ Lisa'", " 'Ferng_ Tian-Lin'", " 'Ferraris_ Dana'", " 'Ferris_ Martin T'", " 'Ferris_ Martin T.'", " 'Ferron_ François'", " 'Fett_ Craig'", " 'Fey_ Georg H'", " 'Feyisa_ Ashenafi'", " 'Fiedler_ Anna H.'", " 'Fielding_ Burtram C'", " 'Fielding_ Burtram C.'", " 'Fielding_ Burtram'", " 'Figlerowicz_ Magdalena'", " 'Figueredo_ Joanita M.'", " 'Figueroa_ Dania M.'", " 'Finetti_ Francesca'", " 'Finlay_ B. Brett'", " 'Fiorito_ Filomena'", " 'Firth_ Andrew E.'", " 'Fischer_ Gunter'", " 'Fischer_ Robert J.'", " 'Fischer_ Steven'", " 'Flemban_ H.'", " 'Flemingt_ John O.'", " 'Flieder_ Douglas B.'", " 'Flora_ Meerjady Sabrina'", " 'Florek_ Dominik'", " 'Flyer_ David C.'", " 'Fogel_ Itay'", " 'Fohlman_ Jan'", " 'Foley_ J.E'", " 'Folitse_ Raphael'", " 'Fomukong_ Ndingsa G.'", " 'Fomukong_ Ndingsa'", " 'Fong_ Jordan YH'", " 'Fontanet_ Arnaud'", " 'Foord_ Adam'", " 'Forster_ Johannes'", " 'Fortin_ Pascal D.'", " 'Fouchier_ Ron AM'", " 'Fournier_ Alain'", " 'Fournier_ Sylvie'", " 'Fowler_ Robert'", " 'Fox_ LeAnne'", " 'Fox_ Linda M.'", " 'Fragoso_ Gabriela'", " 'Frana_ Mark F.'", " 'Franco_ M.'", " 'Frank_ Flavia'", " 'Frank_ Mark'", " 'Freeman_ Brandi'", " 'Fremont_ Daved H.'", " 'Frenz_ Brandon'", " 'Freymuth_ F.'", " 'Freymuth_ François'", " 'Fricke_ M.'", " 'Fricke_ Markus'", " 'Friedel_ Caroline C.'", " 'Frieman_ Matthew B.'", " 'Frieman_ Matthew'", " 'Frimpong_ Yaw Oppong'", " 'Fritz_ Elizabeth A.'", " 'Fry_ Alicia'", " 'Fry_ Elizabeth'", " 'Frösner_ Gert'", " 'Fujii_ Hideki'", " 'Fujii_ Nobutaka'", " 'Fuk-Woo Chan_ Jasper'", " 'Fukatsu_ Hiroaki'", " 'Fukuma_ Aiko'", " 'Fukushi_ Masaya'", " 'Fukushi_ Shuetsu'", " 'Fuller_ James'", " 'Fung_ Cheuk-Lai'", " 'Fung_ Joshua'", " 'Fung_ Ka Shun'", " 'Fung_ Kwok Pui'", " 'Fung_ To Sing'", " 'Fung_ Yin-Wan Wendy'", " 'Furukawa_ Souichi'", " 'Fux_ Robert'", " 'Février_ Michèle'", " 'GEBAUER_ FÁTIMA'", " 'GERRITSMA_ HELEEN'", " 'GONATAS_ NICHOLAS K.'", " 'GRZYBICKI_ DANA'", " 'Gabere_ Musa'", " 'Gage_ Peter'", " 'Gagneur_ Arnaud'", " 'Gagnon_ Mylène'", " 'Gai_ Weiwei'", " 'Gakuya_ Francis'", " 'Galang_ Romeo'", " 'Galarza_ R.'", " 'Galasiti Kankanamalage_ Anushka C.'", " 'Galindo_ Cristi L.'", " 'Gallagher_ Tom'", " 'Gallaher_ William R.'", " 'Gallina_ Laura'", " 'Gambotto_ Andrea'", " 'Gamieldien_ Junaid'", " 'Gan_ Mian'", " 'Gan_ Yong-Hua'", " 'Gao_ Daozhou'", " 'Gao_ Feng'", " 'Gao_ George F.'", " 'Gao_ George\\xa0F.'", " 'Gao_ Guangping'", " 'Gao_ Guangxia'", " 'Gao_ H.'", " 'Gao_ Hong'", " 'Gao_ Jingrong'", " 'Gao_ Mengying'", " 'Gao_ Rong-Ding'", " 'Gao_ Shan'", " 'Gao_ Tongtong'", " 'Gao_ Xiao-Ming'", " 'Gao_ Yaning'", " 'Gao_ Yu-Wei'", " 'Gao_ Yuan'", " 'García-Sastre_ Adolfo'", " 'García_ Pilar'", " 'Gardner_ Shea'", " 'Garner_ Harold R.'", " 'Garner_ Michael M.'", " 'Garron_ Tania'", " 'Garry_ Robert F.'", " 'Gaskell_ C.J.'", " 'Gaskell_ R.M.'", " 'Gaskell_ Rosalind M.'", " 'Gassen_ Alwine'", " 'Gatto_ I.'", " 'Gaughan_ Christina'", " 'Gaunt_ Eleanor'", " 'Gautret_ Philippe'", " 'Gayawan_ Ezra'", " 'Gazo_ Mahmoud'", " 'Ge_ Xing-Yi'", " 'Gebremedhin_ Endrias Zewdu'", " 'Gee Lim_ Seng'", " 'Geerts_ Tamara'", " 'Geier_ Martina'", " 'Geisbert_ Thomas W.'", " 'Gelain_ Maria E.'", " 'Gelain_ Maria Elena'", " 'Gelfi_ Jacqueline'", " 'Gelinck_ Luc B.S.'", " 'Geller_ Andrew I.'", " 'Geng_ Heyuan'", " 'Geng_ Hua'", " 'Geng_ Qibin'", " 'Geng_ Yufei'", " 'Genini_ Emilia'", " 'Genrich_ Gillian L'", " 'Genrich_ Gillian L.'", " 'George_ Shyla'", " 'Gerber_ S. I.'", " 'Gerber_ Sue'", " 'Gerber_ Susan I'", " 'Gerber_ Susan I.'", " 'Gerencer_ Marijan'", " 'German_ Alexander J.'", " 'Gerna_ G.'", " 'Gershoni_ Jonathan M.'", " 'GeurtsvanKessel_ Corine H.'", " 'Ghai_ Siriporn'", " 'Ghandoora_ Yasmeen'", " 'Ghaouar_ Wissem'", " 'Ghazal_ Sameeh S.'", " 'Ghedin_ Elodie'", " 'Ghobashy_ Hazem'", " 'Gholamrezanezhad_ Ali'", " 'Giannitti_ F.'", " 'Gibbons_ Rachel H.'", " 'Gibbons_ Rachel'", " 'Giedroc_ David P.'", " 'Gierer_ Stefanie'", " 'Gil-Cruz_ Cristina'", " 'Gilbert_ Robert J.C.'", " 'Gilbert_ Robert'", " 'Gilch_ Sabine'", " 'Gillim-Ross_ Laura'", " 'Giménez_ Estela'", " 'Giordano_ Alessia'", " 'Gjerset_ Britt'", " 'Glaser_ Carol'", " 'Glenn_ Gregory M.'", " 'Glover_ Jessica L.'", " 'Glowacka_ Ilona'", " 'Gloza-Rausch_ Florian'", " 'Gluais_ Laure'", " 'Gluecks_ Ilona'", " 'Go_ Yun Young'", " 'Godeke_ Gert-Jan'", " 'Goede_ Dane'", " 'Gokhale_ Runa'", " 'Gold_ Jenifer R.'", " 'Gold_ Wayne L.'", " 'Golda_ Anna'", " 'Golder_ Matthew C.'", " 'Golder_ Matthew'", " 'Goldsmith_ Cynthia S.'", " 'Goldstein_ Sue'", " 'Goldstein_ Tracey'", " 'Golovko_ Lyudmila'", " 'Gomaa_ Mokhtar R'", " 'Gomaa_ Mokhtar'", " 'Gombold_ James L.'", " 'Gomes-Keller_ Maria A.'", " 'Gong_ Liyang'", " 'Gong_ Rui'", " 'Gong_ Xiandi'", " 'Gong_ Zhenyu'", " 'Gong_ Zuojiong'", " 'Gonzalez_ Jean-Paul'", " 'Goodwin_ Octavia'", " 'Gooya_ Mohammad Mehdi'", " 'Gopal_ Robin'", " 'Gorbalenya_ Alexander E.'", " 'Gorman_ Sue'", " 'Gottula_ Lina Theresa'", " 'Gouarin_ Stéphanie'", " 'Goudsmit_ Jaap'", " 'Gouya_ Mohammad Mehdi'", " 'Gov_ Lanny'", " 'Goyal_ Sagar M.'", " 'Graham_ Barbara'", " 'Graham_ Barney S.'", " 'Graham_ Rachel L'", " 'Graham_ Rachel L.'", " 'Gralinski_ Lisa E.'", " 'Gramberg_ Thomas'", " 'Granato_ Celso'", " 'Greco_ Grazia'", " 'Green_ Helen K.'", " 'Green_ Karen'", " 'Greenough_ Thomas'", " 'Greer_ Douglas S.'", " 'Gregg_ William'", " 'Gregory_ Brian D.'", " 'Greig_ Denise J.'", " 'Greim_ William'", " 'Gren_ Jason'", " 'Griffey_ Richard H.'", " 'Griffin_ Lauren'", " 'Griffith_ Janice'", " 'Griffith_ Mark'", " 'Grillberger_ Leopold'", " 'Grimes_ Jonathan M.'", " 'Grinwis_ Guy C.M.'", " 'Groeneveld_ Paul H.P.'", " 'Groot Koerkamp_ Marian   JA'", " 'Gross_ Hans-Jürgen'", " 'Grosveld_ Frank'", " 'Groutas_ William C.'", " 'Grube_ Steven'", " 'Grudesky_ Elsie'", " 'Grum-Tokars_ Valerie'", " 'Grywna_ Klaus'", " 'Gu_ Lingjun'", " 'Gu_ X. Y.'", " 'Gu_ Zhiping'", " 'Gualano_ G.'", " 'Guan_ Yi'", " 'Guarino_ Linda A.'", " 'Guarner_ Jeannette'", " 'Gubbins_ Michael J'", " 'Guerra_ Juliana M.'", " 'Gui_ Chunshan'", " 'Gui_ Miao'", " 'Guillemot_ Jean-Claude'", " 'Guillot_ H.'", " 'Gula_ Katarzyna'", " 'Gunalan_ Vithiagaran'", " 'Gunn-Moore_ D'", " 'Guo_ Deyin'", " 'Guo_ Donghua'", " 'Guo_ Hua'", " 'Guo_ Jing'", " 'Guo_ L.'", " 'Guo_ Rong'", " 'Guo_ Rongtong'", " 'Guo_ Xiaojuan'", " 'Guo_ Yan'", " 'Guo_ Zhaobiao'", " 'Gurnani_ Ashita'", " 'Gurses_ Serdar A.'", " 'Gutierrez-Alvarez_ J.'", " 'Gutiérrez-Álvarez_ Javier'", " 'Guy_ James S.'", " 'Guzman_ Carlos A.'", " 'Guérin_ Jean-Luc'", " 'Gönczi_ E'", " 'Güntert_ Peter'", " 'HACHIYA_ Yuma'", " 'HATAMA_ Shinichi'", " 'HOHDATSU_ Tsutomu'", " 'HWANG_ SUN-MIN'", " 'Ha_ Luu Thi Thu'", " 'Ha_ Nguyen Thi Lien'", " 'Ha_ Young Eun'", " 'Haagmans_ B.L.'", " 'Haagmans_ Bart L'", " 'Haagmans_ Bart L.'", " 'Haas_ Jürgen'", " 'Habjan_ Matthias'", " 'Haddad_ Qais'", " 'Haddadin_ Aktham'", " 'Haddock_ Elaine'", " 'Hadya_ Nagesh'", " 'Hafidz_ Mohd A.'", " 'Hafner_ Kathrin'", " 'Haga_ S.'", " 'Hagervall_ Tord G'", " 'Haghani_ Amin'", " 'Hahn_ Fletcher'", " 'Hahn_ Myong-Joon'", " 'Haining_ Jessica'", " 'Hair-Bejo_ Mohd'", " 'Hajeer_ Ali H.'", " 'Hajjeh_ Rana'", " 'Hakawi_ Ahmed'", " 'Hakhverdyan_ Mikhayil'", " 'Halasa_ N.B.'", " 'Halbur_ Patrick G.'", " 'Haley_ Charles'", " 'Hall_ A. J.'", " 'Hall_ Aron J.'", " 'Hall_ Aron'", " 'Hall_ Ross'", " 'Hall_ Thomas A.'", " 'Haller_ Otto'", " 'Halpin_ Rebecca'", " 'Hamilton_ Brian S.'", " 'Han_ Duong An'", " 'Han_ Myung-Guk'", " 'Han_ Pengcheng'", " 'Han_ Ruiyun'", " 'Han_ Song Yi'", " 'Han_ Xiaofeng'", " 'Han_ Yang'", " 'Han_ Yanping'", " 'Han_ Yong'", " 'Han_ Yu-San'", " 'Han_ Zhenggang'", " 'Han_ Zongxi'", " 'Hanafi_ Nik Sherina'", " 'Hanauer_ Jan R.H.'", " 'Handharyani_ E.'", " 'Hang_ Vu Thi Ty'", " 'Hanif_ Atif'", " 'Hanley_ Patrick W.'", " 'Hanna_ Fahad'", " 'Hannis_ James C.'", " 'Hansen_ Guido'", " 'Hansen_ Hanne H.'", " 'Hantak_ Michael P.'", " 'Hao_ Pei'", " 'Hara_ Motonobu'", " 'Harashima_ Ayako'", " 'Harcourt_ Brian H.'", " 'Harcourt_ Jennifer L.'", " 'Harcourt_ Jennifer'", " 'Harley_ Ross'", " 'Harms_ Corey'", " 'Harms_ Ute'", " 'Harmston_ Jennie'", " 'Harrell_ Patina M.'", " 'Harrison-Shostak_ D. Corinne'", " 'Harrod_ Kevin S'", " 'Harrod_ Kevin S.'", " 'Hart_ Randy'", " 'Hartmann_ Katrin'", " 'Hartwig_ Airn E.'", " 'Hasegawa_ Hideki'", " 'Hashem_ Anwar M.'", " 'Hashim_ Osman'", " 'Hasoksuz_ Mustafa'", " 'Hassall_ Mark'", " 'Hassan_ Ahmed M.'", " 'Hassan_ Bachar'", " 'Hassan_ Md. Imtaiyaz'", " 'Hassan_ Nagla'", " 'Hassan_ Sabah M.'", " 'Hassan_ Sohail'", " 'Hassl_ Andreas'", " 'Hatama_ Shinichi'", " 'Haupt_ Thomas E.'", " 'Have_ P.'", " 'Hawkins_ J'", " 'Hay_ Simon I.'", " 'Hayashi_ Hidenori'", " 'Hayashi_ Katsuma'", " 'Hayashi_ Takaya'", " 'Hayden_ Frederick G.'", " 'Haynes_ Amber'", " 'Haynes_ Lia M.'", " 'Haynes_ Lia'", " 'He_ Daihai'", " 'He_ Ming-Liang'", " 'He_ Mingliang'", " 'He_ Peilan'", " 'He_ Rongqiao'", " 'He_ Runtao'", " 'He_ Tian'", " 'He_ Ting'", " 'He_ Wei'", " 'He_ Yining'", " 'He_ You Yu'", " 'He_ Yuxian'", " 'Hedenstierna_ Göran'", " 'Hedrich_ H.J.'", " 'Heeney_ Jonathan L.'", " 'Heesters_ Balthasar'", " 'Hefford_ Mary Alice'", " 'Hegazy_ Safwat A.'", " 'Hein_ A.'", " 'Heise_ Mark'", " 'Hellferscee_ Orienka'", " 'Helps_ C.R.'", " 'Helps_ Chris R.'", " 'Helps_ Christopher R'", " 'Hemachudha_ Thiravat'", " 'Hemida_ Maged G.'", " 'Hemida_ Maged Gomaa'", " 'Hemmati_ Peyman'", " 'Hemmila_ E.M.'", " 'Heng_ Bee H.'", " 'Hennig_ Mirko'", " 'Hensley_ Lisa E.'", " 'Hensley_ Lisa'", " 'Heo_ Suk-Jin'", " 'Herfst_ Sander'", " 'Herman_ Brian D'", " 'Hernández-Boluda_ Juan Carlos'", " 'Herrler_ Georg'", " 'Herrmann_ Alexander'", " 'Herzog_ Petra'", " 'Hess_ Markus'", " 'Hesse_ Martina'", " 'Hesse_ Richard'", " 'Heurich_ Adeline'", " 'Heusipp_ Gerhard'", " 'Heymann_ David'", " 'Heywood_ Anita E'", " 'Hibberd_ Martin L'", " 'Hickman_ Carole J.'", " 'Hicks_ Allison L.'", " 'Hien_ Tran Tinh'", " 'Hien_ Vo Be'", " 'Hietala_ Sharon K.'", " 'Higgins_ J.C.'", " 'Higgins_ J.K.'", " 'Highkin_ Maureen K.'", " 'Higuchi_ Tohru'", " 'Hilali_ Mosaad'", " 'Hilgenfeld_ Rolf'", " 'Hill_ Sherrasa'", " 'Hill_ Terence E.'", " 'Hilt_ Deborah A.'", " 'Hilton_ Anne'", " 'Hindiyeh_ Musa'", " 'Hingley_ Susan T.'", " 'Hinton_ David R.'", " 'Hirano_ Norio'", " 'Hirano_ Toshio'", " 'Hirata_ K.Y.'", " 'Hirayama_ Mikio'", " 'Hiscox_ Julian A.'", " 'Hitter_ Elisabeth'", " 'Ho-Yin Wong_ Bosco'", " 'Ho_ David D.'", " 'Ho_ Kok Lian'", " 'Ho_ Kuan-I'", " 'Ho_ Walter K.K.'", " 'Ho_ Yuan-Yuan'", " 'Hoblet_ K.H.'", " 'Hodder_ Peter'", " 'Hodges_ Robert S.'", " 'Hodgson_ Teri'", " 'Hofer_ Heribert'", " 'Hoffmann_ Markus'", " 'Hofmann-Winkler_ Heike'", " 'Hofmann_ Heike'", " 'Hofstadler_ Steven A.'", " 'Hogan_ Robert J.'", " 'Hogue_ Brenda G.'", " 'Hohdatsu_ Tsutomu'", " 'Hojvat_ Sally'", " 'Holloway_ Brian P.'", " 'Holman_ Kaitlyn M.'", " 'Holmes_ Edward C.'", " 'Holmes_ K.V.'", " 'Holmes_ Kathryn V'", " 'Holmes_ Kathryn V.'", " 'Holmest_ Kathryn V.'", " 'Holmskov_ Uffe'", " 'Holsboer_ Florian'", " 'Holtz_ Katherine'", " 'Holzenburg_ Andreas'", " 'Hon_ Chung Chau'", " 'Hon_ Julia'", " 'Hong_ Amy Y.'", " 'Hong_ Kee-Jong'", " 'Hong_ Saeme'", " 'Hong_ Tran Thi Kim'", " 'Hong_ Wanjin'", " 'Hooks_ John J.'", " 'Hooper_ T.'", " 'Hooper_ T.A.'", " 'Hooyberghs_ J.'", " 'Hornsby-Myers_ Jennifer'", " 'Hornyák_ Ákos'", " 'Horzinek_ M.C.'", " 'Horzinek_ Marian C.'", " 'Hoskin_ Jason'", " 'Hossain_ Mohammed Enayet'", " 'Hosseiny_ Melina'", " 'Hotez_ Peter J.'", " 'Hou_ Guang-Yu'", " 'Hou_ Ming-Hon'", " 'Hou_ Panpan'", " 'Hou_ Wei'", " 'Hou_ Y.-I.'", " 'Houhou_ N.'", " 'Housa_ Abeer'", " 'Hsiang_ Chien-Yun'", " 'Hsiao_ Cheng-Hsiang'", " 'Hsiao_ Chwan-Deng'", " 'Hsiao_ Hsin-hao'", " 'Hsiao_ Li-Hsin'", " 'Hsieh_ Chih-Heng'", " 'Hsieh_ Chiu-Min'", " 'Hsieh_ Hsing-Pang'", " 'Hsieh_ Li-En'", " 'Hsieh_ Szu-Chia'", " 'Hsieh_ Szu-Min'", " 'Hsieh_ Tsung-Han'", " 'Hsieh_ Wen-Shyang'", " 'Hsu_ Hsiao-Chin'", " 'Hsu_ Li-Ching'", " 'Hsu_ Yen-lan'", " 'Hsu_ Yu-Fen'", " 'Hsueh_ Po-Ren'", " 'Hu-Primmer_ Jean'", " 'Hu_ Ben'", " 'Hu_ Bo'", " 'Hu_ Che-Ming J.'", " 'Hu_ Fen'", " 'Hu_ Gui-Xue'", " 'Hu_ Hsien-Ping'", " 'Hu_ Hui'", " 'Hu_ Lihong'", " 'Hu_ Qin'", " 'Hu_ Qinxue'", " 'Hu_ Y.'", " 'Hu_ Yanxin'", " 'Hu_ Yi'", " 'Hu_ Yue'", " 'Hu_ Zhihong'", " 'Hua_ Duy H.'", " 'Huang_ Bai-Cheng'", " 'Huang_ Baoying'", " 'Huang_ C. L.'", " 'Huang_ Changkang'", " 'Huang_ Chao-Lin'", " 'Huang_ Cheng'", " 'Huang_ Chien-Jhen'", " 'Huang_ Chun-Hsiung'", " 'Huang_ Di'", " 'Huang_ Fang-Ping'", " 'Huang_ He'", " 'Huang_ I-Chueh'", " 'Huang_ J.D.'", " 'Huang_ Jian-Dong'", " 'Huang_ Jiandong'", " 'Huang_ Jinyan'", " 'Huang_ Jun'", " 'Huang_ Kai-Fa'", " 'Huang_ Kai-Hung'", " 'Huang_ L.-M.'", " 'Huang_ Lan'", " 'Huang_ LeiShi'", " 'Huang_ Li-Min'", " 'Huang_ Lu-Qi'", " 'Huang_ Mei'", " 'Huang_ Ning-Na'", " 'Huang_ Qiao'", " 'Huang_ Shan-Ping'", " 'Huang_ Shilei'", " 'Huang_ Song'", " 'Huang_ Su-Hua'", " 'Huang_ Tai-Huang'", " 'Huang_ Tai-huang'", " 'Huang_ Teng'", " 'Huang_ Tony\\xa0T.'", " 'Huang_ Wei-Pang'", " 'Huang_ Xingyu'", " 'Huang_ Yi'", " 'Huang_ Yong-Dong'", " 'Hufert_ F.T.'", " 'Huggins_ John W.'", " 'Huh_ Hee Jae'", " 'Hui_ David S.'", " 'Hui_ Kenrie P. Y.'", " 'Huitema_ Carly'", " 'Huizinga_ Eric G.'", " 'Hullinger_ Pamela'", " 'Hung_ Chia-Chien'", " 'Hung_ Chien-Ching'", " 'Hung_ Dang Manh'", " 'Hung_ Eugene'", " 'Hung_ I.F.N.'", " 'Hung_ Ivan F.N.'", " 'Hung_ Ivan Fan-Ngai'", " 'Hung_ Manh'", " 'Hung_ Nguyen Quoc'", " 'Hunsmann_ Gerhard'", " 'Hunter_ Jennifer C.'", " 'Hunter_ Jennifer'", " 'Huong_ Dang Thao'", " 'Huong_ Vu Thi Lan'", " 'Hur_ Y.J.'", " 'Hussien_ Raed'", " 'Hutchison_ Stephen K.'", " 'Hwang_ Eung-Soo'", " 'Hwang_ Il-Young'", " 'Hwang_ Lih-Hwa'", " 'Hwang_ Mihyun'", " 'Hwang_ Mona'", " 'Hypolite_ Joseph'", " 'Höner_ Oliver P'", " 'ISHIHARA_ Ryoko'", " 'IZETA_ ANDER'", " 'Iblan_ Ibrahim'", " 'Ichinohe_ Takeshi'", " 'Ide_ Kaori'", " 'Igci_ Mehri'", " 'Igci_ Yusuf Ziya'", " 'Ihorst_ Gabriele'", " 'Ikeya_ Teppei'", " 'Ikonen_ N.'", " 'Ikpeze_ Nneka'", " 'Ikuta_ Kazuyoshi'", " 'Im_ Eu-Hyun'", " 'Imai_ Alberto M.'", " 'Imambaccus_ H.'", " 'Imambaccus_ Hala'", " 'Imbert_ Isabelle'", " 'Inglis_ S.C.'", " 'Inglis_ Stephen C.'", " 'Inn_ Kyung-Soo'", " 'Inoue_ Mai'", " 'Inoue_ Tadashi'", " 'Ionta_ Christopher'", " 'Iosifidis_ Christos'", " 'Iovane_ Giuseppe'", " 'Iovane_ Valentina'", " 'Ip_ Margaret'", " 'Ippolito_ Giuseppe'", " 'Ipsen_ Anne'", " 'Isenhour_ Cheryl'", " 'Ishida_ Isao'", " 'Ishihara_ Ryoko'", " 'Ishii_ Hiroshi'", " 'Ishii_ Yuichi'", " 'Iskandrani_ Ayman'", " 'Islam_ Abul B. M. M. K.'", " 'Islam_ Ariful'", " 'Islam_ Shariful'", " 'Issa_ Z. B.'", " 'Ito_ Naoto'", " 'Itoh_ Kyogo'", " 'Ivens_ Al'", " 'Iwamoto_ Aikichi'", " 'Iwata-Yoshikawa_ Naoko'", " 'Iwata_ Hiroyuki'", " 'Iwata_ Naoko'", " 'Iyer_ Arun'", " 'Izadi_ Morteza'", " 'Izadkhasti_ Sousan'", " 'J. Makonnen_ Yilma'", " 'J. Webby_ Richard'", " 'Jabado_ Omar'", " 'Jackwood_ Joshua W.'", " 'Jackwood_ Mark W.'", " 'Jacob_ Lotta H.'", " 'Jacobs-Slifka_ Kara'", " 'Jacobs_ Jon'", " 'Jacobs_ Jonathan L'", " 'Jacobs_ Max'", " 'Jacobsen_ Gary'", " 'Jadi_ Ramesh S.'", " 'Jaentschke_ Bozena'", " 'Jahrling_ Peter B.'", " 'Jain_ Komal'", " 'Jameel_ Shahid'", " 'James_ K.'", " 'James_ Karen Ellis'", " 'James_ Michael N.G.'", " 'Jan Bosch_ Berend'", " 'Jan_ Jia-Tsrong'", " 'Jan_ Tong-Rong'", " 'Jang_ Deok Hyun'", " 'Jang_ H.C.'", " 'Jang_ Kyoung Jin'", " 'Jang_ Min Seong'", " 'Jang_ Seok-Il'", " 'Janies_ Daniel'", " 'Jansen_ Casper'", " 'Jany_ Sylvia'", " 'Jarrett_ Oswald'", " 'Jasik_ Krzysztof'", " 'Jaspard_ M.'", " 'Jassoy_ Christian'", " 'Jaume_ Martial'", " 'Jaureguiberry_ S.'", " 'Jebbink_ Maarten F'", " 'Jebbink_ Maarten F.'", " 'Jee_ Hyeon-Gun'", " 'Jee_ Jun-Goo'", " 'Jeffers_ Scott A.'", " 'Jemli_ Mohamed'", " 'Jen_ Wei'", " 'Jenal_ K'", " 'Jenner_ Alison J.'", " 'Jensen_ Kara L.'", " 'Jeon_ Hyo-Jeong'", " 'Jeon_ Ji Ho'", " 'Jeon_ Seunghyun'", " 'Jeong_ Eun Ju'", " 'Jeong_ Ina'", " 'Jeong_ S.J.'", " 'Jeong_ Wooseog'", " 'Jeong_ Y.'", " 'Jeong_ Yong-Joo'", " 'Jeoung_ Hye-Young'", " 'Jernigan_ Daniel B.'", " 'Jernigan_ Daniel'", " 'Jernigan_ John A.'", " 'Jerome_ Keith R.'", " 'Jhung_ Michael'", " 'Ji_ Haishuo'", " 'Ji_ Wei'", " 'Ji_ Yong Yong'", " 'Ji_ Yong-Yong'", " 'Jia_ Hao'", " 'Jia_ Rui'", " 'Jia_ Rujing'", " 'Jia_ Wenfeng'", " 'Jia_ Wenxu'", " 'Jia_ Zhengcai'", " 'Jiang_ Chengyu'", " 'Jiang_ Feng Li'", " 'Jiang_ Hualiang'", " 'Jiang_ Li'", " 'Jiang_ Lingxiao'", " 'Jiang_ Man-Rong'", " 'Jiang_ Ren-Di'", " 'Jiang_ Shibo'", " 'Jiang_ Taijiao'", " 'Jiang_ Wei-Hong'", " 'Jiang_ Weihong'", " 'Jiang_ Wen-Ming'", " 'Jiang_ Xiao-Sheng'", " 'Jiang_ Xinhe'", " 'Jiang_ Y. Z.'", " 'Jiang_ Yu Sherry'", " 'Jiang_ Yun'", " 'Jiang_ Yuting'", " 'Jiang_ Zhi-Qin'", " 'Jimenez-Guardeño_ Jose M.'", " 'Jiménez-Guardeño_ Jose M.'", " 'Jiménez_ Gustavo'", " 'Jin_ Bong-Suk'", " 'Jin_ Dong-Yan'", " 'Jin_ Lei'", " 'Jin_ Q.'", " 'Jin_ Qi'", " 'Jin_ Tao'", " 'Jin_ Xu'", " 'Jin_ Yan'", " 'Jin_ Yongjie'", " 'Jin_ Young-Hee'", " 'Jing-An_ Cui'", " 'Jing_ Huaiqi'", " 'Jinghua_ Yan'", " 'Jo_ Hye Jun'", " 'Jo_ Ik Joon'", " 'Jochmans_ Dirk'", " 'Joh_ Joon Sung'", " 'Joh_ Joon-Sung'", " 'Johnson_ Christine K.'", " 'Johnson_ Dayna'", " 'Johnson_ G.'", " 'Johnson_ Joshua C.'", " 'Johnson_ M.'", " 'Johnson_ Reed F.'", " 'Johnstone_ Darrell'", " 'Jokhdar_ Hani A. Aziz'", " 'Jokhdar_ Hani'", " 'Joly_ Damien O.'", " 'Jonczyk‐Potoczna_ Katarzyna'", " 'Jones-Wormley_ Jamie'", " 'Jones_ Ian M.'", " 'Jones_ Joshua D.'", " 'Jones_ Les P.'", " 'Jones_ Steven'", " 'Jones_ Tara L.'", " 'Jonges_ Marcel'", " 'Jonsson_ Colleen B.'", " 'Jordan_ Heather'", " 'Jordan_ Ingo'", " 'Jores_ Joerg'", " 'Jose_ Shanty'", " 'Joseph_ Jeremiah S.'", " 'Joseph_ Jeremiah'", " 'Joseph_ Marina'", " 'Joseph_ Mercy'", " 'Joseph_ Sunitha'", " 'Josset_ Laurence'", " 'Jou_ Yu-Jen'", " 'Joynt_ Gavin M.'", " 'Jrijer_ Jamel'", " 'Juang_ Shin-Hun'", " 'Juhasz_ Jutka'", " 'Jukneliene_ Dalia'", " 'Jung_ D. I.'", " 'Jung_ E.'", " 'Jung_ Eunhye'", " 'Jung_ Hyemin'", " 'Jung_ Suk-Han'", " 'Jung_ Sung-Mok'", " 'Jung_ Y.'", " 'Jung_ Young-Sik'", " 'Jung_ Yu Mi'", " 'Junior_ Abelardo Silva'", " 'Junop_ Murray'", " 'Jurida_ Liane'", " 'K. W. Chu_ Daniel'", " 'KANAGAWA_ Eiichi'", " 'KANNO_ Toru'", " 'KAWAGUCHI_ Masato'", " 'KECSKEMÉTI_ S.'", " 'KIM_ YOUNG-NAM'", " 'KLINGEBORN_ B.'", " 'KOERTEN_ HENK K.'", " 'KOKADO_ Hiroshi'", " 'KUWATA_ Ryusei'", " 'Kabala_ Wojciech'", " 'Kabani_ Amin'", " 'Kacem_ Mohamed-Ali Hadj'", " 'Kaewpom_ Thongchai'", " 'Kageyama_ Tsutomu'", " 'Kahlert_ Viktoria'", " 'Kahn_ Jeffrey S.'", " 'Kahn_ Kathleen'", " 'Kai-Wang To_ Kelvin'", " 'Kai_ Chieko'", " 'Kain_ Kevin C.'", " 'Kainosho_ Masatsune'", " 'Kaiser_ Pete'", " 'Kaleebu_ Pontiano'", " 'Kalinke_ Ulrich'", " 'Kallen_ Alexander J.'", " 'Kallies_ Stefan'", " 'Kallies_ Stephan'", " 'Kamahora_ Toshio'", " 'Kamal_ Farina Mustaffa'", " 'Kamarulzaman_ Adeeba'", " 'Kamau_ Everlyn'", " 'Kambhampati_ Anita'", " 'Kamenyeva_ Olena'", " 'Kamili_ Shifaq'", " 'Kaminski_ Kamil'", " 'Kamitani_ Wataru'", " 'Kamrud_ Kurt'", " 'Kan_ Biao'", " 'Kanai_ Takao'", " 'Kanchanasaka_ Budsabong'", " 'Kandeel_ Mahmoud'", " 'Kandeil_ Ahmed'", " 'Kanellos_ Theofanis'", " 'Kanellos_ Theophanis'", " 'Kang_ Cheol In'", " 'Kang_ Cheol-In'", " 'Kang_ Chun'", " 'Kang_ Eun-Ju'", " 'Kang_ Eun-Suk'", " 'Kang_ Hunseok'", " 'Kang_ Hyojeung'", " 'Kang_ Ji-Man'", " 'Kang_ Jihoon'", " 'Kang_ Jin-Hee'", " 'Kang_ Kyung Won'", " 'Kang_ Mun-Il'", " 'Kang_ Seong Hee'", " 'Kang_ Yahong'", " 'Kang_ Yan'", " 'Kang_ Yu Min'", " 'Kanjanahaluethai_ Amornrat'", " 'Kannagi_ Mari'", " 'Kanno_ Toru'", " 'Kao_ C. Cheng'", " 'Kao_ C.-L.'", " 'Kao_ Chuan-Liang'", " 'Kao_ Daniel J.'", " 'Kao_ Richard Y.'", " 'Kao_ Richard Y.T.'", " 'Kao_ Richard Yi-Tsun'", " 'Kapadia_ Sagar U.'", " 'Kapoor_ Amit'", " 'Kapoor_ Vishal'", " 'Karami_ Nedaa A.'", " 'Karesh_ William'", " 'Kariwa_ Hiroaki'", " 'Karl_ Nadja'", " 'Karp_ Christopher'", " 'Kataoka_ Michiyo'", " 'Kato_ Hirotomo'", " 'Kattan_ Rana F'", " 'Katz_ Joanne'", " 'Katze_ Michael G.'", " 'Kawachi_ Kengo'", " 'Kawase_ Miyuki'", " 'Kayali_ Ghazi'", " 'Kaye_ H.S.'", " 'Kayed_ Ahmed E.'", " 'Kayed_ Ahmed S'", " 'Ke_ Changwen'", " 'Ke_ Jin-Shan'", " 'Ke_ Min'", " 'Ke_ Ting-Yung'", " 'Keane_ Sarah C.'", " 'Keating_ M. Kelly'", " 'Keck_ James G.'", " 'Kedracka-Krok_ Sylwia'", " 'Keep_ Sarah M.'", " 'Kehrl_ John H.'", " 'Kellam_ Paul'", " 'Kellathur_ Srinivasan N.'", " 'Keller_ Markus'", " 'Kelvin_ Alyson A.'", " 'Kelvin_ David J.'", " 'Kelvin_ David'", " 'Kemp_ Alan'", " 'Kemp_ Fred'", " 'Ken-En Gan_ Samuel'", " 'Keng_ Choong-Tat'", " 'Kennedy_ Heather'", " 'Kennedy_ Pamela'", " 'Kenniston_ Tom'", " 'Kent Tseng_ Chien-Te'", " 'Kent_ Charlotte'", " 'Kerimbayev_ Aslan A.'", " 'Kern_ Angela'", " 'Kern_ Anika'", " 'Kerwan_ Ahmed'", " 'Keum_ Young-Sam'", " 'Keyaerts_ Els'", " 'Khadadah_ Mousa'", " 'Khalafalla_ A. I.'", " 'Khalid_ Ghalilah'", " 'Khalifeh_ Mohammad'", " 'Khan_ Manjur Hossain'", " 'Khan_ Mehdi'", " 'Khan_ Mishal'", " 'Khan_ Nabab'", " 'Khan_ Raymond'", " 'Khan_ Sehaam'", " 'Khandaker_ G.'", " 'Khansari Nejad_ Behzad'", " 'Kharaba_ Ayman'", " 'Khatani_ Naif'", " 'Khatri_ Mamata'", " 'Khatry_ Subarna K'", " 'Khattari_ Ziad'", " 'Khazanehdari_ Kamal'", " 'Khetsuriani_ Nino'", " 'Khinich_ Evgeny'", " 'Khlangsap_ Nathawat'", " 'Khoa_ Pham Thi Minh'", " 'Khoo_ Ui-Soon'", " 'Khudair_ Ahmed'", " 'Khudhair_ A.'", " 'Khudhair_ Ahmed'", " 'Ki_ Chang-Seok'", " 'Ki_ M.'", " 'Ki_ Moran'", " 'Kidd_ I. Michael'", " 'Kido_ Hiroshi'", " 'Kiem_ S.'", " 'Kien_ François'", " 'Kienast_ Mariana'", " 'Kiet_ Bach Tuan'", " 'Kikkert_ Marjolein'", " 'Killerby_ Marie'", " 'Kim_ B.-N.'", " 'Kim_ Chi-Kyeong'", " 'Kim_ Chonsaeng'", " 'Kim_ Dae Young'", " 'Kim_ Dae-Won'", " 'Kim_ Dong Soo'", " 'Kim_ Dong-Eun'", " 'Kim_ Dong-Jae'", " 'Kim_ Donghwan'", " 'Kim_ Doo'", " 'Kim_ E.S.'", " 'Kim_ Eu Suk'", " 'Kim_ Eui Chong'", " 'Kim_ Eun Jung'", " 'Kim_ Gayeon'", " 'Kim_ Gye-Yeop'", " 'Kim_ H.Y.'", " 'Kim_ Hak'", " 'Kim_ Heui Man'", " 'Kim_ Ho-Seong'", " 'Kim_ Hong Bin'", " 'Kim_ Hong-Bin'", " 'Kim_ Hong-Lim'", " 'Kim_ Hun'", " 'Kim_ Hyejin'", " 'Kim_ Hyoung Rae'", " 'Kim_ Hyun Jik'", " 'Kim_ Hyun-Jeong'", " 'Kim_ Hyun-Tae'", " 'Kim_ In-Soo'", " 'Kim_ J. O.'", " 'Kim_ J.'", " 'Kim_ Jae-Seok'", " 'Kim_ Jee Woong'", " 'Kim_ Jeong Min'", " 'Kim_ Jeong-Ho'", " 'Kim_ Ji-Soo'", " 'Kim_ Ji-Youn'", " 'Kim_ Jieun'", " 'Kim_ Jihoon'", " 'Kim_ Jin Yong'", " 'Kim_ Jinsil'", " 'Kim_ Jong-Il'", " 'Kim_ Jong-Won'", " 'Kim_ Jun Sub'", " 'Kim_ K.-H.'", " 'Kim_ Ki Hwan'", " 'Kim_ Kisoon'", " 'Kim_ Kyongmin Hwang'", " 'Kim_ Kyung Bo'", " 'Kim_ Kyung Mi'", " 'Kim_ Kyung Su'", " 'Kim_ Kyunga'", " 'Kim_ L.'", " 'Kim_ Lindsay'", " 'Kim_ Man Jin'", " 'Kim_ Meehyein'", " 'Kim_ Mi Seon'", " 'Kim_ Mi-Na'", " 'Kim_ Mi-Seon'", " 'Kim_ Moon Jung'", " 'Kim_ Moonsuk'", " 'Kim_ Myung Hee'", " 'Kim_ N.-J.'", " 'Kim_ Nam Joong'", " 'Kim_ Nam-Joong'", " 'Kim_ Paul'", " 'Kim_ Sang Woo'", " 'Kim_ Seungtaek'", " 'Kim_ Sinyoung'", " 'Kim_ So Hyun'", " 'Kim_ So Yeon'", " 'Kim_ Sung Ran'", " 'Kim_ Sung Soon'", " 'Kim_ Tae Hyong'", " 'Kim_ Tae Jung'", " 'Kim_ Tae Sung'", " 'Kim_ Taek Soo'", " 'Kim_ Un-Na'", " 'Kim_ Woo Joo'", " 'Kim_ Y.-S.'", " 'Kim_ Yae-Jean'", " 'Kim_ Yeon Jeong'", " 'Kim_ Yeon-Sook'", " 'Kim_ Yeonjae'", " 'Kim_ Yongkuk'", " 'Kim_ You-Jin'", " 'Kim_ You-Jung'", " 'Kim_ Younggyu'", " 'Kim_ Yun Hyeon'", " 'Kim_ Yunjeong'", " 'Kim_ Yuri'", " 'Kimura_ Hirokazu'", " 'Kin_ Nathalie'", " 'King_ Vickie L.'", " 'Kinoshita_ Ryo'", " 'Kinoshita_ Yuta'", " 'Kipar_ A'", " 'Kipar_ Anja M.'", " 'Kipar_ Anja'", " 'Kirchhoff_ Frank'", " 'Kirikae_ Teruo'", " 'Kirking_ Hannah'", " 'Kiss_ Gabriella'", " 'Kissinger_ Jessica C.'", " 'Kistner_ Otfried'", " 'Kitabatake_ Masahiro'", " 'Kitching_ Paul'", " 'Kittayapong_ Pattamaporn'", " 'Kiupel_ Matti'", " 'Klaus_ Joseph P.'", " 'Klaus_ Suzi'", " 'Klein_ Eva M.'", " 'Klein_ Reuben'", " 'Klem_ Edward B.'", " 'Klem_ Thea'", " 'Klenk_ H.-D.'", " 'Klenk_ Hans-Dieter'", " 'Kley_ Nils'", " 'Klopp_ Christophe'", " 'Kluge_ John P.'", " 'Knaap_ Robert C. M.'", " 'Knight_ Jennifer B'", " 'Knipe_ David M.'", " 'Knoops_ Kèvin'", " 'Knowles_ Toby'", " 'Knuchel_ Marlyse'", " 'Knutson_ Todd P.'", " 'Ko_ Byoung Joon'", " 'Ko_ Hongseok'", " 'Ko_ Hyemin'", " 'Ko_ Jae-Hoon'", " 'Ko_ Ronald LW'", " 'Ko_ Tzu-Ping'", " 'Ko_ Wen-Chien'", " 'Ko_ Young Jin'", " 'Kobayashi_ Akiharu'", " 'Kobayashi_ Tetsuro'", " 'Kobinger_ G P'", " 'Kobinger_ Gary P.'", " 'Kocak_ M.'", " 'Kocher_ Jacob'", " 'Kochs_ Georg'", " 'Kock_ Richard'", " 'Koerhuis_ Danielle'", " 'Koetzner_ Cheri A.'", " 'Koh_ D.R.'", " 'Koh_ Hong-Bum'", " 'Kohara_ Michinori'", " 'Kohyama_ Shunsuke'", " 'Kok_ Kin-Hang'", " 'Kolatkar_ Prasanna R'", " 'Kolbjørnsen_ Ø.'", " 'Komatsu_ Nobukazu'", " 'Kondo_ Takashi'", " 'Kong_ James'", " 'Kong_ Wing-Pui'", " 'Kong_ Xiangang'", " 'Kongsanan_ Paweena'", " 'Koonin_ Lisa'", " 'Koopmans_ Marion P'", " 'Koopmans_ Marion P.'", " 'Koopmans_ Marion P.G.'", " 'Koopmans_ Marion'", " 'Kopeyev_ Syrym K.'", " 'Koppaka_ Ram'", " 'Korch_ George'", " 'Kort_ Thomas'", " 'Koshak_ Hassan'", " 'Koskinen_ J.O.'", " 'Kosmos_ Christine'", " 'Kosowicz_ Katarzyna'", " 'Kostecki_ Renata'", " 'Koster_ Abraham J'", " 'Kou_ Zhihua'", " 'Kouchi_ Mami'", " 'Koujitani_ Takatoshi'", " 'Koulouris_ Nikolaos G.'", " 'Koup_ Richard A.'", " 'Kousoulas_ K.G.'", " 'Kousoulas_ Konstantin G.'", " 'Koutlakis-Barron_ Irene'", " 'Koutsoukou_ Antonia'", " 'Koyasu_ Shigeo'", " 'Kracht_ Michael'", " 'Kramer_ Sarah'", " 'Krauss_ Scott'", " 'Kriegenburg_ Franziska'", " 'Krishna Murthy_ Karuturi R'", " 'Krishnan_ Pavithra'", " 'Krivec_ Uroš'", " 'Krumbiegel_ Mandy'", " 'Kruppa_ Thomas F.'", " 'Krämer-Kühl_ Annika'", " 'Ksiazek_ Thomas G.'", " 'Ksiazek_ Tom G.'", " 'Ku_ Keun Bon'", " 'Kuehn_ Larry A.'", " 'Kuhar_ David'", " 'Kuhn_ Jens H.'", " 'Kuhn_ Peter'", " 'Kuhnert-Tallman_ Wendi'", " 'Kuijpers_ Taco W.'", " 'Kujawski_ Stephanie'", " 'Kukol_ Andreas'", " 'Kumar_ Archana'", " 'Kumar_ Dutta Noton'", " 'Kumar_ Mia R.'", " 'Kumar_ Purnima'", " 'Kumar_ Sanjeev'", " 'Kumargowda_ Supreetha Toplar'", " 'Kunding_ Andreas H.'", " 'Kung_ Hsiang-fu'", " 'Kung_ Szu-Hao'", " 'Kuny_ Chad'", " 'Kuo_ Chih-Jung'", " 'Kuo_ Yu-Min'", " 'Kupfer_ Bernd'", " 'Kurane_ Ichiro'", " 'Kuri_ Thomas'", " 'Kuriyama_ Takayuki'", " 'Kurosu_ Takeshi'", " 'Kuroyama_ Hiroyuki'", " 'Kurth_ Andreas'", " 'Kusov_ Yuri'", " 'Kutkat_ Omnia'", " 'Kuypers_ Jane M.'", " 'Kuypers_ Jane Y'", " 'Kuziel_ William A.'", " 'Kwan_ Ka Ho'", " 'Kweon_ Oh Joo'", " 'Kwok-Man Poon_ Vincent'", " 'Kwon_ Hyeon Jeong'", " 'Kwon_ Hyun-Mi'", " 'Kwon_ Nak-Jung'", " 'Kwon_ SoYoung'", " 'Kwon_ Soon Bin'", " 'Kwon_ Sunoh'", " 'Kwon_ TaeWoo'", " 'Kögl_ Manfred'", " 'LE_ Thanh Dinh Ha'", " 'LUYTJES_ WILLEM'", " 'LaVoy_ Alora'", " 'Labitt_ Rachael N.'", " 'Lackemeyer_ Mathew G.'", " 'Lackemeyer_ Matthew G.'", " 'Lackner_ Andrew'", " 'Lai_ Chien-Chen'", " 'Lai_ Fernand M.'", " 'Lai_ Hsing-Yi'", " 'Lai_ Jak-Yiu'", " 'Lai_ Kar Neng'", " 'Lai_ Luhua'", " 'Lai_ Michael M.C.'", " 'Lai_ Pok-Man'", " 'Lai_ Sik-To'", " 'Lai_ Thomas S.T.'", " 'Lal_ Sunil K'", " 'Lal_ Sunil K.'", " 'Lalani_ Tahaniyat'", " 'Lalor_ Patricia F.'", " 'Lam_ Bosco Hoi Shiu'", " 'Lam_ Carol S.F.'", " 'Lam_ H.Y.'", " 'Lam_ Man Fai'", " 'Lam_ S. Y.'", " 'Lamers_ Mart M'", " 'Lamers_ Mart M.'", " 'Lamirande_ Elaine W.'", " 'Lamirande_ Elaine'", " 'Lamkiewicz_ Kevin'", " 'Lamp_ Benjamin'", " 'Lamptey_ Jones'", " 'Lan_ Jiaming'", " 'Lan_ Ke'", " 'Lan_ Qiaoshuai'", " 'Lan_ Yu-Ching'", " 'Lanave_ Gianvito'", " 'Lander_ Angelika'", " 'Landon_ Alexander'", " 'Landry_ Marie L.'", " 'Lane_ Thomas E.'", " 'Lang_ Hong-Wu'", " 'Lang_ Ya-Hui'", " 'Lang_ Yifei'", " 'Langereis_ Martijn A.'", " 'Lantier_ I.'", " 'Lanzavecchia_ Antonio'", " 'Lao_ Victoria'", " 'Lapan_ Gudrun'", " 'Larsen_ Christopher N.'", " 'Larsen_ Scott D.'", " 'Larsson_ Sara'", " 'Lattwein_ Erik'", " 'Lau_ Candy C. Y.'", " 'Lau_ Candy CY'", " 'Lau_ Candy Choi-Yi'", " 'Lau_ Eric H.Y.'", " 'Lau_ S.K.P.'", " 'Lau_ Suet-Ting'", " 'Lau_ Susanna K. P.'", " 'Lau_ Susanna K.P.'", " 'Lau_ Susanna KP'", " 'Lau_ Susanna Kar-Pui'", " 'Lau_ Terrence C. K.'", " 'Lau_ Yu Lung'", " 'Lauchart_ Manfred'", " 'Laude_ Hubert'", " 'Laurent_ Y.'", " 'Lauria_ F.N.'", " 'Lavazza_ Antonio'", " 'Lavender_ Hayley'", " 'Lavi_ Ehud'", " 'Law_ Ka Man'", " 'Law_ Y.C'", " 'Lawrence_ John M.'", " 'Lazzarin_ Adriano'", " 'Le Ngoc_ Nguyen Thi'", " 'LeClerq_ Steve C'", " 'LeCureux_ Jonathan'", " 'LeRoith_ Tanya'", " 'Le_ Mai Quynh'", " 'Le_ My Tra'", " 'Leadprathom_ Kumron'", " 'Lease_ Robert'", " 'Lebowitz_ Michael D.'", " 'Lednicky_ John A.'", " 'Lee_ Anna'", " 'Lee_ Baeckseung'", " 'Lee_ Bong-Joo'", " 'Lee_ Byoung-Hee'", " 'Lee_ Chaewoon'", " 'Lee_ Chung A.'", " 'Lee_ Dong Ho'", " 'Lee_ Eun-Young'", " 'Lee_ H.'", " 'Lee_ Hansaem'", " 'Lee_ Hui-Lin'", " 'Lee_ Hui-Young'", " 'Lee_ Hyuck'", " 'Lee_ Hyukmin'", " 'Lee_ Ilseob'", " 'Lee_ J. M.'", " 'Lee_ J.H.'", " 'Lee_ J.W.M.'", " 'Lee_ Jae In'", " 'Lee_ Jee-Soo'", " 'Lee_ Jeong-Min'", " 'Lee_ Ji Yeon'", " 'Lee_ Jin Moo'", " 'Lee_ Jin Yong'", " 'Lee_ Jinhee'", " 'Lee_ Jong-koo'", " 'Lee_ Joo-Shil'", " 'Lee_ Joo-Yeon'", " 'Lee_ Jun Young'", " 'Lee_ June'", " 'Lee_ K.S.'", " 'Lee_ Kee-In'", " 'Lee_ Ki-Nam'", " 'Lee_ Kyung Hee'", " 'Lee_ Kyung Soo'", " 'Lee_ Leslie'", " 'Lee_ Li-Li'", " 'Lee_ Mi-Kyung'", " 'Lee_ Myoung-Keun'", " 'Lee_ Na-Ra'", " 'Lee_ Nam Yong'", " 'Lee_ Nam-Joo'", " 'Lee_ Nelson'", " 'Lee_ Po-Oi'", " 'Lee_ Saem Na'", " 'Lee_ Sang Kook'", " 'Lee_ Sang Min'", " 'Lee_ Sang-Min'", " 'Lee_ Sang-Myeong'", " 'Lee_ Seung Jun'", " 'Lee_ Shin-jye'", " 'Lee_ Soon Young'", " 'Lee_ Su-Ping'", " 'Lee_ Sunmi'", " 'Lee_ Susanna S.T.'", " 'Lee_ Terri S.W.'", " 'Lee_ Wah Heng'", " 'Lee_ Wang Jun'", " 'Lee_ William W.'", " 'Lee_ Woo Song'", " 'Lee_ Young Kyung'", " 'Leeson_ Andrew'", " 'Legr_ M.C.'", " 'Legrand_ Marie-Christine'", " 'Lehmbecker_ Annika'", " 'Lei_ Huan-Yao'", " 'Leibowitz_ Julian L.'", " 'Leman_ Patricia A.'", " 'Lemey_ Philippe'", " 'Lemke_ Conelia'", " 'Lemke_ Cornelia'", " 'Leng_ Chih-Hsiang'", " 'Lenk_ Matthias'", " 'Lenstra_ J.A.'", " 'Leo_ Yee S.'", " 'Leon_ Alberto J.'", " 'Leong_ Hoe Nam'", " 'Leong_ M.L.N.'", " 'Leport_ Catherine'", " 'Lerdsamran_ Hatairat'", " 'Lerman_ I.R.'", " 'Lescar_ J.'", " 'Lescar_ Julien'", " 'Lescure_ F. X.'", " 'Lester_ Sandra'", " 'Letko_ Michael'", " 'Letourneau_ Ian D.'", " 'Leung_ Cynthia S. W'", " 'Leung_ Cynthia S.W'", " 'Leung_ Cynthia Sau-Wai'", " 'Leung_ Frederick Chi Ching'", " 'Leung_ Hiu-Lan'", " 'Leung_ Jessica'", " 'Leung_ Suet Yi'", " 'Leutenegger_ C.M.'", " 'Leutenegger_ Christian M'", " 'Leutenegger_ Christian M.'", " 'Levene_ Harold M.'", " 'Levis_ R.'", " 'Levy_ Gary A.'", " 'Lew_ Jocelyne'", " 'Lewis_ Kim'", " 'Lewis_ Rayleen'", " 'Lexmond_ Pascal'", " 'Leyten_ Eliane M.S.'", " 'Leyva-Grado_ Victor H.'", " 'León_ Alberto J.'", " 'Li_ Bei'", " 'Li_ Bing-Hui'", " 'Li_ Chengjun'", " 'Li_ Chengren'", " 'Li_ Chia-Cheng'", " 'Li_ Chunmei'", " 'Li_ Chunqiu'", " 'Li_ Clara P.Y.'", " 'Li_ Cun'", " 'Li_ Fan'", " 'Li_ Fang'", " 'Li_ Fangqiu'", " 'Li_ Feng‐di'", " 'Li_ Gang'", " 'Li_ Guangxing'", " 'Li_ Gui-Mei'", " 'Li_ H.'", " 'Li_ Hong'", " 'Li_ Hui Li'", " 'Li_ Huixin'", " 'Li_ Huiying'", " 'Li_ Jeng-Yi'", " 'Li_ Jia-Lu'", " 'Li_ Jiaming'", " 'Li_ Jian'", " 'Li_ Jiangfan'", " 'Li_ Jianguo'", " 'Li_ Jie'", " 'Li_ Jin-Ping'", " 'Li_ Jingjing'", " 'Li_ Jingxiang'", " 'Li_ Jintao'", " 'Li_ Joseph K.-K.'", " 'Li_ Junfeng'", " 'Li_ Kenneth S.M.'", " 'Li_ Kenneth SM'", " 'Li_ Kui'", " 'Li_ Kun'", " 'Li_ L.'", " 'Li_ Li'", " 'Li_ Lianwei'", " 'Li_ Lichun'", " 'Li_ Linhai'", " 'Li_ Linlin'", " 'Li_ Meng'", " 'Li_ Patrick T.W.'", " 'Li_ Ping'", " 'Li_ Qian'", " 'Li_ Qianjun'", " 'Li_ Qing'", " 'Li_ Sandra'", " 'Li_ Shan'", " 'Li_ Shou-Feng'", " 'Li_ Siyu'", " 'Li_ Wei'", " 'Li_ Wentao'", " 'Li_ Xiaoming'", " 'Li_ Xin'", " 'Li_ Xu'", " 'Li_ Xuguang'", " 'Li_ Xunliang'", " 'Li_ Y. J.'", " 'Li_ Y.'", " 'Li_ Yan'", " 'Li_ Yao-Tsun'", " 'Li_ Yi Xue'", " 'Li_ Yi-Ping'", " 'Li_ Yi-Rong'", " 'Li_ Yijing'", " 'Li_ Yirong'", " 'Li_ Yixue'", " 'Li_ Yize'", " 'Li_ Yonggang'", " 'Li_ Yu-Chuan'", " 'Li_ Ze-Lin'", " 'Li_ Zeshi'", " 'Liang_ Huanhuan'", " 'Liang_ Ke'", " 'Liang_ Po-Huang'", " 'Liang_ Wenxue'", " 'Liang_ Yi'", " 'Liang_ Yunfei'", " 'Liao_ Ching-Len'", " 'Liao_ Pao-Chi'", " 'Liao_ Qingjiao'", " 'Liao_ Wei-Yu'", " 'Liao_ Y.'", " 'Liao_ Ying'", " 'Liao_ Yun'", " 'Lichoti_ Jacqueline'", " 'Licitra_ Beth N.'", " 'Lien_ Hao-Chiang'", " 'Lien_ Nguyen Thi Nam'", " 'Liew_ Pei Xiong'", " 'Likanonsakul_ Sirirat'", " 'Liljander_ Anne'", " 'Lim_ Bing'", " 'Lim_ Dong-Gyun'", " 'Lim_ Ju-Hyeon'", " 'Lim_ K.P.'", " 'Lim_ Ken Hong'", " 'Lim_ Seng Gee'", " 'Lim_ Su Hwan'", " 'Lim_ Sun Hee'", " 'Lim_ Wilina'", " 'Lim_ Yong Kwan'", " 'Lima_ Christopher\\xa0D.'", " 'Limpens_ Ronald W. A. L.'", " 'Lin_ Chao-Hsiung'", " 'Lin_ Chao-Nan'", " 'Lin_ Chen-Lung Steve'", " 'Lin_ Chen-Sheng'", " 'Lin_ Cheng-Wen'", " 'Lin_ Chin-Yo'", " 'Lin_ Ching-Houng'", " 'Lin_ Chiou-Feng'", " 'Lin_ Chung-Tien'", " 'Lin_ Dah-Sheng'", " 'Lin_ F'", " 'Lin_ Fengsheng'", " 'Lin_ Guo-Mei'", " 'Lin_ Jian-Yu'", " 'Lin_ Jih-Hui'", " 'Lin_ Kuan-Hsun'", " 'Lin_ Kuei-Hsiang'", " 'Lin_ Leng-Chieh'", " 'Lin_ Li-Kai'", " 'Lin_ Marie C.'", " 'Lin_ Mark T.'", " 'Lin_ Minta'", " 'Lin_ Pi-Hsiu'", " 'Lin_ Qianyin'", " 'Lin_ Ruey-Shiung'", " 'Lin_ Ruey-Yi'", " 'Lin_ Selma Sau-Wah'", " 'Lin_ Shing-Yen'", " 'Lin_ Szu-Fong'", " 'Lin_ T.-L.'", " 'Lin_ T.L.'", " 'Lin_ Ting-Hsiang'", " 'Lin_ Tsang Long'", " 'Lin_ Tsuey-Li'", " 'Lin_ W. M.'", " 'Lin_ Xiang'", " 'Lin_ Xin'", " 'Lin_ Yee-Shin'", " 'Lin_ Yi Wen'", " 'Lin_ Ying'", " 'Lin_ Ying-Ju'", " 'Lin_ Yong-Ping'", " 'Lin_ Yu-Chun'", " 'Lin_ Zhihua'", " 'Lindberg_ A.'", " 'Lindsley_ Craig W.'", " 'Lindstrom_ Stephen'", " 'Lindén_ M.'", " 'Ling'", " 'Ling_ A.-E.'", " 'Ling_ Ai E.'", " 'Ling_ Ai Ee'", " 'Ling_ Lunjiang'", " 'Lingappa_ Jairam'", " 'Lingbao_ Kong'", " 'Link-Gelles_ Ruth'", " 'Linlin_ Bao'", " 'Linton_ Natalie M.'", " 'Lipkin_ W. I.'", " 'Lipkin_ W. Ian'", " 'Liu_ B.'", " 'Liu_ Boping'", " 'Liu_ Catherine Y.Y'", " 'Liu_ Chang'", " 'Liu_ Cheng'", " 'Liu_ Chia-Ling'", " 'Liu_ Chuanxuan'", " 'Liu_ D.X'", " 'Liu_ D.X.'", " 'Liu_ David X.'", " 'Liu_ Di'", " 'Liu_ Ding X.'", " 'Liu_ Ding Xiang'", " 'Liu_ Dingxiang'", " 'Liu_ Edison T'", " 'Liu_ Fang'", " 'Liu_ Guang'", " 'Liu_ Haihong'", " 'Liu_ Haiquan'", " 'Liu_ Hong'", " 'Liu_ Hongwei'", " 'Liu_ Hsin-Fu'", " 'Liu_ Huan'", " 'Liu_ Huaxing'", " 'Liu_ Huijun'", " 'Liu_ Hun-Ge'", " 'Liu_ I-Jung'", " 'Liu_ Jian-Wei'", " 'Liu_ Jianjun'", " 'Liu_ Jiaqi'", " 'Liu_ Jie'", " 'Liu_ Jin-Sheng'", " 'Liu_ Jing'", " 'Liu_ Kang'", " 'Liu_ L. L.'", " 'Liu_ Lee Tai'", " 'Liu_ Li'", " 'Liu_ Lihong'", " 'Liu_ Lin-Lin'", " 'Liu_ Longding'", " 'Liu_ Mei-Qin'", " 'Liu_ Michael T.'", " 'Liu_ Pinghua'", " 'Liu_ Qi'", " 'Liu_ Qiang'", " 'Liu_ Qiaoran'", " 'Liu_ Qiujin'", " 'Liu_ Shengwang'", " 'Liu_ Shuo'", " 'Liu_ Weiyong'", " 'Liu_ Wenkuan'", " 'Liu_ William J.'", " 'Liu_ Xiao Bo'", " 'Liu_ Xiaoli'", " 'Liu_ Xin'", " 'Liu_ Xinqi'", " 'Liu_ Y. W.'", " 'Liu_ Ye V.'", " 'Liu_ Yi'", " 'Liu_ Yin'", " 'Liu_ Ying'", " 'Liu_ Yingle'", " 'Liu_ Yingzhi'", " 'Liu_ Yiwei'", " 'Liu_ Youning'", " 'Liu_ Yuet-Man'", " 'Liu_ Zezhong'", " 'Lively_ Joana'", " 'Ljungman_ Per'", " 'Lluch_ Jérôme'", " 'Lo_ Anthony Wing-Ip'", " 'Lo_ Chen-Yu'", " 'Lo_ Shou-Chen'", " 'Lo_ Y.M. Dennis'", " 'Lo_ Y.M.Dennis'", " 'Lo_ YM Dennis'", " 'Lo_ Yueh-Kuei'", " 'Loa_ Chien Chang'", " 'Loan_ Mai Thi Phuoc'", " 'Lobanov_ Vladislav'", " 'Logan_ E.F.'", " 'Lokugamage_ Kumari G.'", " 'London_ Beny'", " 'Long_ Hoang Bao'", " 'Long_ Philip M'", " 'Longo_ Mariangela'", " 'Longobardi_ Lindsay E.'", " 'Longuere_ Kajsa-Stina'", " 'Loo_ Jun-Hun'", " 'Lopez_ Lisa A.'", " 'Lorin_ Valérie'", " 'Lorusso_ Alessio'", " 'Lorusso_ Eleonora'", " 'Losurdo_ Michele'", " 'Lou_ Gin'", " 'Lou_ Yijun'", " 'Lou_ Yongliang'", " 'Lou_ Zhiyong'", " 'Louge Uriarte_ E.'", " 'Loutfy_ Mona'", " 'Lovell_ Scott'", " 'Loving_ C.L.'", " 'Low_ Donald E.'", " 'Lowe_ Luis E.'", " 'Lowther_ Sara'", " 'Loy_ John Dustin'", " 'Lu_ Baojing'", " 'Lu_ Guangwen'", " 'Lu_ Hsin-Ti'", " 'Lu_ Huang'", " 'Lu_ Jianxin'", " 'Lu_ Jinhua'", " 'Lu_ Kai'", " 'Lu_ Li-Wei'", " 'Lu_ Lin'", " 'Lu_ Liwei'", " 'Lu_ Lu'", " 'Lu_ Roujian'", " 'Lu_ Shan'", " 'Lu_ Wei'", " 'Lu_ X.'", " 'Lu_ Xiaoyan'", " 'Lu_ Xinya'", " 'Lu_ Yen-Ta'", " 'Lu_ Yiqi'", " 'Lu_ Zhi-qiang'", " 'Lu_ Zhuozhuang'", " 'Lu_ Zuhong'", " 'Luan_ Yi-He'", " 'Luat_ Xuan'", " 'Lucas_ Jared M.'", " 'Lucas_ Marie-Noëlle'", " 'Lucente_ Maria Stella'", " 'Lucet_ J. C.'", " 'Ludewig_ Burkhard'", " 'Ludwig_ George V'", " 'Lui_ G.'", " 'Lui_ Wing-bong'", " 'Luk_ Hayes KH'", " 'Luke_ Thomas C.'", " 'Lung_ Oliver'", " 'Luo_ Chu-Ming'", " 'Luo_ Chuming'", " 'Luo_ Deyan'", " 'Luo_ Dong-Sheng'", " 'Luo_ Dongu'", " 'Luo_ Haibin'", " 'Luo_ Jiaying'", " 'Luo_ Li-Sha'", " 'Luo_ Min'", " 'Luo_ Xiaomin'", " 'Luo_ Yonghu'", " 'Luo_ Yun'", " 'Lusa_ Lara'", " 'Lushington_ Gerald H.'", " 'Lusk_ Rodney H.'", " 'Lutz_ H'", " 'Lutz_ H.'", " 'Lutz_ Hans'", " 'Luvizotto_ M.C.R.'", " 'Lv_ Lishan'", " 'Lv_ Ping'", " 'Lv_ Qi'", " 'Lv_ Ruicheng'", " 'Lv_ Wei'", " 'Lynch_ Brian'", " 'Lyons_ Leslie A.'", " 'Lécine_ Patrick'", " 'López_ Juan A.'", " 'MAEDA_ Ken'", " 'MAKINO_ SHINJI'", " 'MELAKU_ Simenew Keskes'", " 'MEULEN_ HANS VAN DER'", " 'MINAMI_ Shohei'", " 'MIWA_ Yasutsugu'", " 'MURATA-OHKUBO_ Michiko'", " 'MURPHY_ SEAN'", " 'Ma-Lauer_ Yue'", " 'Ma_ Chi'", " 'Ma_ Cuiqing'", " 'Ma_ Dawei'", " 'Ma_ Jianmin'", " 'Ma_ Jing'", " 'Ma_ Liang'", " 'Ma_ Lin-Lu'", " 'Ma_ Qingjun'", " 'Ma_ Shaohui'", " 'Ma_ Xiao'", " 'Ma_ Yazhen'", " 'Maatouq_ Asmaa M'", " 'Mabery_ Shalini'", " 'MacIntyre_ C Raina'", " 'MacIntyre_ Chandini Raina'", " 'MacKinnon_ Joanne'", " 'Machamer_ Carolyn E.'", " 'Machuca_ Mariana'", " 'Mackay_ Ian M.'", " 'Macklin_ Wendy B.'", " 'Madani_ Tariq A.'", " 'Madhi_ Shabir A.'", " 'Madrid_ Silvia'", " 'Maeda_ Akihiko'", " 'Maeda_ Ken'", " 'Maejima_ Takashi'", " 'Maes_ Piet'", " 'Maes_ Roger K.'", " 'Maeurer_ Markus'", " 'Magdesian_ K.G.'", " 'Magouz_ Asmaa'", " 'Mahajan_ Supriya D.'", " 'Mahmoud_ Sara H'", " 'Mahmoud_ Sara'", " 'Maier_ Reinhard'", " 'Main_ Rodger'", " 'Maiorka_ P.'", " 'Maiorka_ Paulo'", " 'Majumder_ M S'", " 'Makhdoom_ H.Q.'", " 'Makhdoom_ Hatem Q.'", " 'Makia_ Divine'", " 'Makino_ Shinji'", " 'Makkinje_ Nick'", " 'Maksym_ Beata'", " 'Malapati_ Lakshmi'", " 'Malešević_ Miroslav'", " 'Malik Peiris_ Joseph S.'", " 'Malik_ Mamunur Rahman'", " 'Malone_ Leslie'", " 'Maltezou_ Helena C.'", " 'Malykhina_ Anna P.'", " 'Man Kim_ Heui'", " 'Man Poon_ Leo Lit'", " 'Mancini_ Nicasio'", " 'Mandadapu_ Sivakoteswara Rao'", " 'Mandel_ Samantha'", " 'Mandelboim_ Michal'", " 'Mandola_ Maria Lucia'", " 'Maneeorn_ Patarapol'", " 'Maneeorn_ Pattarapol'", " 'Mangel_ Walter F.'", " 'Manns_ Brian'", " 'Manoharan_ Muthiah'", " 'Manosuthi_ Weerawat'", " 'Manuguerra_ Jean-Claude'", " 'Mao_ Lejiao'", " 'Mao_ Panyong'", " 'Mapes_ S.'", " 'Mapes_ S.M.'", " 'Marano_ Nina'", " 'Marasco_ Wayne A.'", " 'Marchi_ Antonietta'", " 'Marcos-Villar_ Laura'", " 'Marfé_ Gabriella'", " 'Mari_ Muriel'", " 'Mari_ V.'", " 'Mari_ Viviana'", " 'Marianneau_ Philippe'", " 'Mariette_ Jérôme'", " 'Marissen_ Wilfred E'", " 'Marlow_ Mariel'", " 'Marques_ Ernesto T.A.'", " 'Marquez-Jurado_ Silvia'", " 'Marsh_ G. A.'", " 'Marston_ Barbara'", " 'Marszal_ Peter'", " 'Martella_ V'", " 'Martella_ V.'", " 'Martella_ Vito'", " 'Martellaro_ Cynthia'", " 'Marthaler_ Douglas G.'", " 'Marthaler_ Douglas'", " 'Marti_ Sabrina'", " 'Martin-Garcia_ Julio'", " 'Martinelli_ Silvia'", " 'Martinez_ Kenneth F.'", " 'Martinez_ Osvaldo'", " 'Martini_ M'", " 'Martini_ Matheus C.'", " 'Martino_ Rodrigo'", " 'Marty_ Rene R.'", " 'Martínez-Sobrido_ Luis'", " 'Marz_ M.'", " 'Marz_ Manja'", " 'Marzi_ Andrea'", " 'Marzoug_ B. A.'", " 'Masika_ Moses'", " 'Mason_ Robert J.'", " 'Massare_ Michael J.'", " 'Massare_ Michael'", " 'Massire_ Christian'", " 'Masterman_ Stephanie K.'", " 'Masters_ Paul S.'", " 'Masuda_ Takao'", " 'Mata_ Helena'", " 'Matiasek_ Kaspar'", " 'Matin_ Mohammad Abdul'", " 'Matroud_ Amal A.'", " 'Matsuda_ Ryo'", " 'Matsui_ Masanori'", " 'Matsui_ Yusuke'", " 'Matsumoto_ Izumi'", " 'Matsunaga_ Satoko'", " 'Matsuoka_ Yumiko'", " 'Matsuoka_ Yusuke'", " 'Matsushima_ Kouji'", " 'Matsushima_ Yuki'", " 'Matsuura_ Yoshiharu'", " 'Matsuyama_ Shutoku'", " 'Matthews_ Leslie J.'", " 'Matthijnssens_ Jelle'", " 'Mattiuzzo_ Giada'", " 'Mattson_ D.E.'", " 'Mazet_ Jonna A. K.'", " 'Mazet_ Jonna K.'", " 'Mazur_ Steven'", " 'Mazzulli_ T.'", " 'Mboudoudjeck_ Innocent'", " 'McCall_ Amber W.'", " 'McCaustland_ Karen A.'", " 'McCloskey_ Brian'", " 'McClung_ Nancy'", " 'McClure_ Liz'", " 'McCluskey_ Brian'", " 'McCray_ Paul B.'", " 'McDaneld_ Tara G.'", " 'McDonald_ Emily'", " 'McDonald_ L. Clifford'", " 'McErlean_ Peter'", " 'McGovern_ Oliva'", " 'McGowan_ John J.'", " 'McGrath_ William J.'", " 'McGrew_ Marcia'", " 'McIntosh_ S.'", " 'McKeirnan_ Alison J.'", " 'McKenzie_ Pamela P'", " 'McKenzie_ Pamela P.'", " 'McKinley_ Enid T.'", " 'McLachlan_ Shona A.'", " 'McLellan_ Jason S.'", " 'McMorrow_ Meredith'", " 'McNeil_ John A.'", " 'McPherson_ Clifton'", " 'McWeeney_ Shannon'", " 'Mckinlay_ Carolyn'", " 'Mederski_ Barbara'", " 'Mehzabeen_ Nurjahan'", " 'Mei_ Yi'", " 'Meiman_ Jonathan G.'", " 'Melaku_ Simenew Keskes'", " 'Melaku_ Simenew'", " 'Melancon_ Jeffrey M.'", " 'Meli_ Marina L.'", " 'Meli_ Marina'", " 'Memish_ Ziad A'", " 'Memish_ Ziad A.'", " 'Menachery_ Vineet D.'", " 'Menciassi_ Nicola'", " 'Mendelson_ Ella'", " 'Meng_ Fandan'", " 'Meng_ Jin'", " 'Meng_ Jing'", " 'Meng_ Qing-Wei'", " 'Mentis_ Andreas F.'", " 'Meredith_ Michayla R'", " 'Merson_ Laura'", " 'Mesecar_ Andrew D.'", " 'Mesquita_ Ramon G.'", " 'Messadi_ Lilia'", " 'Messonnier_ Nancy'", " 'Mesters_ Jeroen R.'", " 'Metcalfe_ Maureen G.'", " 'Mete_ A.'", " 'Mettelman_ Robert C.'", " 'Metzger_ Cecilia'", " 'Meyer_ Benjamin'", " 'Meyer_ Richard F.'", " 'Meyer_ Yvonne'", " 'Mfinanga_ Sayoki'", " 'Miao_ Congrong'", " 'Michael_ David D.'", " 'Michaelis_ Martin'", " 'Miculitzki_ Marcelo'", " 'Middleton_ Deborah'", " 'Midgley_ Claire M.'", " 'Midgley_ Claire'", " 'Midkiff_ Cecily'", " 'Mielech_ Anna M.'", " 'Mikami_ Shin-ichi'", " 'Mileham_ Alan'", " 'Miletti_ Tina C.'", " 'Milewska_ Aleksandra'", " 'Millar_ Eugene V.'", " 'Miller_ Andrew D'", " 'Miller_ Megan R.'", " 'Millet_ Jean K.'", " 'Milne-Price_ Shauna'", " 'Min_ Jung Sun'", " 'Mindell_ David P'", " 'Ming_ Zhenhua'", " 'Minh_ Nguyen Thanh'", " 'Minh_ Tran Thi Thuy'", " 'Minnich_ Linda L.'", " 'Mirazimi_ Ali'", " 'Mishra_ Nischay'", " 'Misra_ Vikram'", " 'Miszczak_ Fabien'", " 'Mitchell_ Hugh D.'", " 'Mitchell_ Judy A'", " 'Mitchell_ Judy A.'", " 'Mitsui_ Ikki'", " 'Mittel_ L.D.'", " 'Miura_ Yasuo'", " 'Miyama_ Takeshi'", " 'Miyamura_ Tatsuo'", " 'Miyoshi-Akiyama_ Tohru'", " 'Mizutani_ Tetsuya'", " 'Miño_ S.'", " 'Mo_ Meilan'", " 'Moatasim_ Yassmin'", " 'Moatassim_ Yassmin'", " 'Mochizuki_ Masami'", " 'Mock_ Richard E.'", " 'Mockett_ A.P.Adrian'", " 'Modjarrad_ Kayvon'", " 'Moestl_ Karin'", " 'Mohamed_ Nadira S.'", " 'Mohamed_ Nahla'", " 'Mohammed_ Bassem Sahsah'", " 'Mohammed_ Khurram'", " 'Mohammed_ Mutaz'", " 'Mohamud_ Hanat S.'", " 'Mohmed_ Nahla'", " 'Mohran_ Khaled A.'", " 'Moisan_ Steve'", " 'Mok_ Chris Ka Pun'", " 'Mok_ Florence K.Y.'", " 'Mokhtari Azad_ Talat'", " 'Moksa_ Angelica A.'", " 'Moll_ Ralf'", " 'Momattin_ Hisham'", " 'Mommaas_ A. Mieke'", " 'Monastyrska_ Iryna'", " 'Monroe_ Stephan S.'", " 'Montagnaro_ Serena'", " 'Moore_ Deborah'", " 'Moore_ Ian N.'", " 'Mor_ Deepika'", " 'Morales_ Lucia'", " 'Moreno_ Jose L.'", " 'Morgan_ Andrew P.'", " 'Morgan_ Julia D.'", " 'Mori_ Masahito'", " 'Morikawa_ Shigeru'", " 'Morita_ Kouichi'", " 'Morita_ Yoshinori'", " 'Moriya_ Osamu'", " 'Moriyama_ Miyu'", " 'Mork_ Ann-Kathrin'", " 'Morris_ Jessica'", " 'Morris_ Timothy H'", " 'Morrison_ Robert'", " 'Morse_ Stephen S.'", " 'Moré_ Gastón'", " 'Moss_ Bernard'", " 'Mossel_ Eric C.'", " 'Mostafa_ Ahmed'", " 'Moulia_ Danielle'", " 'Mounts_ Anthony'", " 'Mourez_ Thomas'", " 'Mourvillier_ B.'", " 'Moutou_ François'", " 'Moy_ Kin'", " 'Moës_ Elien'", " 'Mpatziou_ R.'", " 'Mu_ Haiyan'", " 'Mudgal_ Gaurav'", " 'Mueller_ Laurie'", " 'Mukhopadhyay_ Bani'", " 'Mukhtar_ Nadia'", " 'Mullany_ Luke C'", " 'Mundt_ Egbert'", " 'Mundt_ Wolfgang'", " 'Mungube_ Erick'", " 'Munster_ Vincent J.'", " 'Munster_ Vincent'", " 'Munywoki_ Patrick K'", " 'Murakami_ Akikazu'", " 'Murakami_ Kenji'", " 'Murakami_ Masaaki'", " 'Murphy_ Brian'", " 'Murray_ Janna'", " 'Musa_ Bakri E.'", " 'Musa_ Salihu S.'", " 'Mushynski_ Walter E.'", " 'Musselman_ Esther'", " 'Mustaffa-Kamal_ Farina'", " 'Mustaquim_ Desiree'", " 'Musto_ Héctor'", " 'Mutairi_ Mohammed Al'", " 'Mutei_ Mowafaq Ali'", " 'Muth_ Doreen'", " 'Mutschall_ Doris'", " 'Muturi_ Matthew'", " 'Mutwiri_ George'", " 'Muñoz_ Marta'", " 'Mwaba_ Peter'", " 'My_ Pham Ha'", " 'Myers_ G.W.'", " 'Myers_ Lee'", " 'Myrmel_ Mette'", " 'Myun Lee_ Jae'", " 'Mähler_ M.'", " 'Möller_ Peggy'", " 'Mösbauer_ Kirstin'", " 'Möstl_ Karin'", " 'Mühlberger_ Elke'", " 'Mühlebach_ Michael D.'", " 'Müller-Myhsok_ Bertram'", " 'Müller_ Andreas'", " 'Müller_ C'", " 'Müller_ Helmut'", " 'Müller_ Marcel A.'", " 'Müller_ Marcel Alexander'", " 'Münch_ Jan'", " 'NAGANUMA_ Yumiko'", " 'NAGATA_ Nao'", " 'NAKAMURA_ Kaneichi'", " 'Na_ Hye Kyoung'", " 'Na_ Sun Hee'", " 'Na_ Yi-Rang'", " 'Nabar_ Neel R.'", " 'Naceanceno_ Kevin S.'", " 'Nadjm_ Behzad'", " 'Nagarajan_ Krishna'", " 'Nagata_ Noriyo'", " 'Nageh_ Ahmed'", " 'Nagineni_ Chandrasekharam N.'", " 'Nagy_ Peter'", " 'Naim_ Hassan Y.'", " 'Naim_ Hussein Y.'", " 'Najarasl_ Mohammad'", " 'Nakamura_ Tomofumi'", " 'Nakano_ Tatsuya'", " 'Nakauchi_ Mina'", " 'Nakhli_ Daifullah Al'", " 'Nal_ Béatrice'", " 'Nam_ Eun Young'", " 'Nam_ Hae-Sung'", " 'Nam_ Jae-Hwan'", " 'Nam_ Jeong-Gu'", " 'Nam_ Sangwoo'", " 'Nanni_ Mariana'", " 'Nao_ Naganori'", " 'Narayanan_ Krishna'", " 'Naseri_ Maryam'", " 'Nasrallah_ Gheyath K.'", " 'Nasser Cubel Garcia_ Rita de Cássia'", " 'Nathan_ Margret'", " 'Nauwynck_ Hans J.'", " 'Nava_ Donatella'", " 'Navarro_ David'", " 'Navas-Martin_ Sonia'", " 'Nazeer_ Iqra Maleeha'", " 'Nedumaran_ Balachandar'", " 'Nelson_ Nathan M.'", " 'Nelson_ Peter S.'", " 'Neo_ Soek-Ying'", " 'Nettleship_ Joanne'", " 'Neuman_ Benjamin W.'", " 'Neuman_ Benjamin'", " 'Neumann_ Gabriele'", " 'Newman_ Patrick C.'", " 'Newman_ Patrick'", " 'Newton_ Bruce R.'", " 'Neyts_ Johan'", " 'Ng_ Brian CY'", " 'Ng_ Daisy Y. M.'", " 'Ng_ Enders K.O.'", " 'Ng_ Hoi-yee'", " 'Ng_ KC'", " 'Ng_ Kim Tien'", " 'Ng_ Liang Jie'", " 'Ng_ Lifang'", " 'Ng_ Lisa F. P.'", " 'Ng_ Louisa W.Y.'", " 'Ng_ Shing Wei'", " 'Ng_ Tak-Keung'", " 'Ngan_ Ta Thi Dieu'", " 'Ngeiywa_ Kisa-Juma'", " 'Nghia_ Ho Dang Trung'", " 'Nguyen_ Duc'", " 'Nguyen_ Tran Thua'", " 'Nhu_ Tran Do Hoang'", " 'Nhung_ Nguyen Thi'", " 'Ni_ Bing'", " 'Niccolai_ Neri'", " 'Nichols_ Daniel B.'", " 'Nicholson_ T.L.'", " 'Nicolas_ Brigitte'", " 'Nie_ Yuchun'", " 'Niedrig_ Matthias'", " 'Niemeyer_ Daniela'", " 'Niesters_ H.G.M.'", " 'Nieto-Torres_ Jose L.'", " 'Nieto-Torres_ José L.'", " 'Nigri_ Daniel'", " 'Niiro_ Ayako'", " 'Nikolay_ Birgit'", " 'Nilsson_ P.'", " 'Ning_ Pengbo'", " 'Nishifuji_ Koji'", " 'Nishigaki_ Kazuo'", " 'Nishiura_ Kenji'", " 'Nishiwaki_ Tetsu'", " 'Nissen_ Michael D.'", " 'Nitiyanontakij_ Ravee'", " 'Niu_ Peihua'", " 'Niwa_ Hidekazu'", " 'Njeru_ Regina'", " 'Noelte_ Kate'", " 'Nofal_ Samer'", " 'Nogales_ Aitor'", " 'Noh_ Ji Yun'", " 'Noh_ Kyoung-Jin'", " 'Nokes_ D James'", " 'Nooh_ Randa'", " 'Noonan-Smith_ Michelle'", " 'Nordlund_ Kristen'", " 'Norris_ Jacqueline M'", " 'Norris_ Jacqueline M.'", " 'Norton_ Emily'", " 'Norwood_ David'", " 'Notomi_ Tsugunori'", " 'Nour_ Islam'", " 'Nowak_ Paulina'", " 'Nowakowska_ Maria'", " 'Ntoumi_ Francine'", " 'Nunberg_ Jack H.'", " 'Nussbacher_ Monika'", " 'Nuñes_ I.'", " 'Nødtvedt_ Ane'", " 'OGUMA_ Keisuke'", " 'OHASHI_ Masanari'", " 'OHTA_ Jouji'", " 'OHWAKI_ Masao'", " 'ONUMA_ Mamoru'", " 'OTA_ Akihiko'", " 'OTA_ Yuichi'", " 'Oak_ Jean'", " 'Oanh_ Dang Tram'", " 'Obaid_ D A'", " 'Obanda_ Vincent'", " 'Obeid_ Obeid E.'", " 'Ochman_ Marek'", " 'Oda_ Hiroshi'", " 'Odendo_ Vincent'", " 'Odeon_ A.'", " 'Ofner_ Mariana'", " 'Oger_ E.'", " 'Oh_ Hong Sang'", " 'Oh_ Kyung Joong'", " 'Oh_ Myoung-don'", " 'Oh_ Sangtaek'", " 'Oh_ W.S.'", " 'Oh_ Yoonju'", " 'Ohinata_ Tsuyoshi'", " 'Ohlson_ A.'", " 'Ohlson_ Anna'", " 'Ohnishi_ Kazuo'", " 'Ojcius_ David M.'", " 'Ojkic_ D.'", " 'Okabe_ Ryo'", " 'Okada_ Kaori'", " 'Okamoto_ Michiko'", " 'Okba_ Nisreen M. A.'", " 'Okba_ Nisreen M.A.'", " 'Okimoto_ Kazuo'", " 'Okumura_ Atsushi'", " 'Okumura_ Yuushi'", " 'Olival_ Kevin J'", " 'Olival_ Kevin J.'", " 'Oliver_ Sara'", " 'Oliveros_ Juan Carlos'", " 'Olsen_ Björn'", " 'Olsen_ Ole A.'", " 'Olsufyeva_ Eugenia N.'", " 'Olveda_ Remigio M.'", " 'Olyslaegers_ Dominique A. J.'", " 'Oma_ Veslemøy'", " 'Omar_ Abdul R.'", " 'Omar_ Abdul Rahman'", " 'Omori_ Hiroko'", " 'Omrani_ Ali S.'", " 'Ong_ Hui Kian'", " 'Ooi_ Amy'", " 'Ooi_ E.E.'", " 'Ooi_ Eng Eong'", " 'Ooi_ Eng-Eong'", " 'Oong_ Xiang Yong'", " 'Oppong Frimpong_ Yaw'", " 'Oppong_ Samuel'", " 'Ordoño_ Desiderio'", " 'Orenstein_ Jan M.'", " 'Ormond_ C.'", " 'Ortiz-Lombardia_ Miguel'", " 'Orusa_ Riccardo'", " 'Orynbayev_ Mukhit B.'", " 'Osawa_ Shuichi'", " 'Osborne_ Joshua C. P.'", " 'Oshitani_ Hitoshi'", " 'Osiowy_ Carla'", " 'Osman_ Ahmed'", " 'Osman_ Husam K.'", " 'Osman_ Husam'", " 'Osterhaus_ Albert D. M. E.'", " 'Osterhaus_ Albert D.M.E'", " 'Osterhaus_ Albert D.M.E.'", " 'Osterhaus_ Albert DME'", " 'Otaka_ Akira'", " 'Otieno_ Grieven P'", " 'Otieno_ James R'", " 'Ou_ Hong-Yu'", " 'Ouanes-Besbes_ Lamia'", " 'Ouanes_ Islem'", " 'Oude Munnink_ Bas B.'", " 'Oudshoorn_ Diede'", " 'Oue_ Yasuhiro'", " 'Ouma_ Desterio'", " 'Ovaa_ Huib'", " 'Overheim_ Katie'", " 'Overton-Lewis_ Clare'", " 'Owayed_ Abdullah'", " 'Owczarek_ Katarzyna'", " 'Owens_ Ray'", " 'Owusu_ Michael'", " 'Oxenford_ Christopher J.'", " 'Oztuzcu_ Serdar'", " 'O’Brien_ Amornrat'", " 'O’Connell_ M. J.'", " 'O’Connell_ Ryan M.'", " 'O’Hara_ Michael'", " 'O’Shea_ H.'", " 'P. McKenzie_ Pamela'", " 'PERLMAN_ STANLEY'", " 'Packard_ Michelle'", " 'Packirisamy_ Swathi'", " 'Paczkowski_ Magdalena'", " 'Paddock_ Christopher D'", " 'Paddock_ Christopher D.'", " 'Paden_ Clinton'", " 'Padhan_ Kartika'", " 'Pagnini_ Ugo'", " 'Pajkrt_ D.'", " 'Palacios_ Gustavo'", " 'Palacios_ S.'", " 'Palileo_ Isabel'", " 'Palladini_ Alessandra'", " 'Pallansch_ Mark'", " 'Pallesen_ Jesper'", " 'Palmer_ E.L.'", " 'Palmer_ Kenneth E.'", " 'Palmer_ M.V.'", " 'Paltrinieri_ Saverio'", " 'Pan_ Chungen'", " 'Pan_ Ji-An'", " 'Pan_ Wei'", " 'Pan_ Yang'", " 'Pan_ Yun-Bao'", " 'Pan_ Zhen-Yu'", " 'Pang_ Xin'", " 'Pang_ Yong Kek'", " 'Pantchev_ Nikola'", " 'Papadopoulos_ Antonios'", " 'Papageorgiou_ Nicolas'", " 'Papaioannou_ N.'", " 'Papanastassopoulou_ M.'", " 'Papanastassopoulou_ Maria'", " 'Papetti_ Alice'", " 'Papies_ Jan'", " 'Pappin_ Darryl J.C.'", " 'Paquette_ Stephane G.'", " 'Paranhos-Baccalà_ Gláucia'", " 'Parashar_ Umesh'", " 'Pardali_ Dimitra'", " 'Pardo-Manuel de Villena_ Fernando'", " 'Park_ Bong-Kyun'", " 'Park_ Chan'", " 'Park_ Chang Min'", " 'Park_ Chul Min'", " 'Park_ Ga Eun'", " 'Park_ Hye Ri'", " 'Park_ Hye-Lim'", " 'Park_ Hyun'", " 'Park_ Jae-Hak'", " 'Park_ Ji Hye'", " 'Park_ Jinho'", " 'Park_ Jinkyeong'", " 'Park_ Keunwan'", " 'Park_ Ki Hun'", " 'Park_ Kkothanahreum'", " 'Park_ Kye Ryeong'", " 'Park_ Man-Seong'", " 'Park_ Nam-Yong'", " 'Park_ Nare'", " 'Park_ P. G.'", " 'Park_ S.'", " 'Park_ S.H.'", " 'Park_ S.Y.'", " 'Park_ Sang Won'", " 'Park_ Sang-Joon'", " 'Park_ Sehee'", " 'Park_ So Jeong'", " 'Park_ Sora'", " 'Park_ Su-Jin'", " 'Park_ Sun Jae'", " 'Park_ Sung Han'", " 'Park_ Sung Sup'", " 'Park_ Sung-Hoon'", " 'Park_ Sungmin'", " 'Park_ U.'", " 'Park_ Uni'", " 'Park_ Wan Beom'", " 'Park_ Woo-Jung'", " 'Park_ Woong-Yang'", " 'Park_ Y. S.'", " 'Park_ Yeon-Su'", " 'Park_ Young-Jun'", " 'Parra_ Beatriz'", " 'Parra_ F.'", " 'Parreño_ V.'", " 'Parreño_ Viviana'", " 'Parthasarathy_ Krupakar'", " 'Parveen_ Rezina'", " 'Parvez_ Faruque'", " 'Pas_ Suzan D.'", " 'Pasick_ John'", " 'Patel_ Anita'", " 'Patel_ Gira B.'", " 'Patel_ Manisha'", " 'Paterson_ Andrew H.'", " 'Patiño_ Cristina'", " 'Patra_ Mahesh Chandra'", " 'Patteril_ Nissy Annie Georgy'", " 'Paul_ Prem S.'", " 'Pauli_ Georg'", " 'Paweska_ Janusz T.'", " 'Payan_ C.'", " 'Payne_ D.C.'", " 'Payungporn_ Sunchai'", " 'Pebody_ Richard G.'", " 'Pebody_ Richard'", " 'Peck_ Angela'", " 'Peck_ Kyong Ran'", " 'Pedersen_ Niels C'", " 'Pedersen_ Niels C.'", " 'Pegan_ Scott D.'", " 'Pei_ Duanqing'", " 'Pei_ Gang'", " 'Pei_ Yuan-Yuan'", " 'Peipp_ Matthias'", " 'Peiris_ J. S. Malik'", " 'Peiris_ J.S. Malik'", " 'Peiris_ J.S.M.'", " 'Peiris_ JS Malik'", " 'Peiris_ Joseph S. M'", " 'Peiris_ Joseph S. Malik'", " 'Peiris_ Joseph S.M'", " 'Peiris_ Joseph S.M.'", " 'Peiris_ Malik'", " 'Pekosz_ Andrew'", " 'Pelkmans_ Lucas'", " 'Peng_ Bi-Hung'", " 'Peng_ Cheng'", " 'Peng_ Guoai'", " 'Peng_ Hong-Juan'", " 'Peng_ Jie'", " 'Peng_ Junping'", " 'Peng_ Kun'", " 'Peng_ Sheng-Kai'", " 'Peng_ Shuying'", " 'Peng_ Wei-Hao'", " 'Peng_ Ying'", " 'Peng_ Yousong'", " 'Peng_ Zhi-Yong'", " 'Pensaert_ M.'", " 'Pensaert_ M.B.'", " 'Pepper_ Gregory'", " 'Pepperkok_ Rainer'", " 'Percivalle_ Elena'", " 'Percy_ Dean'", " 'Perera_ Ranawaka A.P.M.'", " 'Perera_ Ranawaka APM'", " 'Perfumo_ Carlos J.'", " 'Perin_ Paula'", " 'Perl_ Trish M.'", " 'Perlman_ S.'", " 'Perlman_ Stanley'", " 'Pervushin_ Konstantin'", " 'Pesavento_ Patricia A.'", " 'Petcharat_ Sininat'", " 'Peternelli_ Ethel Fernandes de Oliveira'", " 'Peters_ C. J.'", " 'Peters_ C.J.'", " 'Peters_ Clarence J.'", " 'Petersen_ Daniel'", " 'Petersen_ Eskild'", " 'Petersen_ Gudula'", " 'Petitjean_ Joëlle'", " 'Petric_ Martin'", " 'Petrovan_ Vlad'", " 'Petrovec_ Miroslav'", " 'Petrovsky_ Nikolai'", " 'Pettrone_ Kristen'", " 'Pewe_ Lecia'", " 'Pfefferle_ Susanne'", " 'Pfeifer_ Alexander'", " 'Pham_ Alissa'", " 'Pham_ H.'", " 'Pham_ Huong'", " 'Phan_ My Vu Tra'", " 'Phares_ Timothy W.'", " 'Phat_ Voong Vinh'", " 'Phengsakul_ Patcharakiti'", " 'Philipp_ Hans-Christian'", " 'Phu_ Bui Duc'", " 'Phuc_ Thi'", " 'Phuc_ Tran My'", " 'Phuong_ Thanh'", " 'Phuong_ Thi'", " 'Picard_ B.'", " 'Picard_ Bertrand'", " 'Pichlmair_ Andreas'", " 'Pidthong_ Apisit'", " 'Pierce_ Taran'", " 'Pietz_ Harald'", " 'Pigott_ David M.'", " 'Pillai_ Satish'", " 'Pinchbeck_ Gina'", " 'Pinna_ Debora'", " 'Pintos_ María E.'", " 'Piralla_ Antonio'", " 'Pitra_ Christian'", " 'Piñeyro_ Pablo'", " 'Plana-Durán_ Juan'", " 'Plana_ Joan'", " 'Plana_ Juan'", " 'Plant_ Ewan P.'", " 'Plante_ Jessica'", " 'Plummer_ Francis A.'", " 'Plummer_ Frank A.'", " 'Plummer_ Frank'", " 'Pocacqua_ Vanessa'", " 'Poetri_ O. N.'", " 'Pogka_ Vasiliki'", " 'Pogranichniy_ R.'", " 'Poland_ A.M'", " 'Poli_ Guido'", " 'Poljak_ Z.'", " 'Pollet_ Jeroen'", " 'Pontikis_ Kostantinos'", " 'Poon_ L. L. M.'", " 'Poon_ L.L.M.'", " 'Poon_ Leo L. M'", " 'Poon_ Leo L. M.'", " 'Poon_ Leo L.L.M.'", " 'Poon_ Leo L.M.'", " 'Poon_ Leo LM'", " 'Poon_ Leo Lit Man'", " 'Poon_ Rosana W.S.'", " 'Poon_ Rosana WS'", " 'Poon_ Vincent Kwok-Man'", " 'Poovorawan_ Yong'", " 'Popov_ Vsevolod L.'", " 'Porter_ Emily L.'", " 'Post_ Penny'", " 'Posthuma_ Clara C.'", " 'Postnikova_ Elena N.'", " 'Potempa_ Jan'", " 'Pothitos_ George'", " 'Poutanen_ Susan M.'", " 'Powers_ James C.'", " 'Poynter_ Scott'", " 'Prabhakar_ Bellur S.'", " 'Pradeep_ K.'", " 'Pradeep_ Krishna'", " 'Pratelli_ Annamaria'", " 'Prather_ Randall S.'", " 'Prebanda_ Mojca Trstenjak'", " 'Preiser_ Wolfgang'", " 'Prell_ Erik'", " 'Preobrazhenskaya_ Maria N.'", " 'Prescott_ Joseph'", " 'Press_ Richard D.'", " 'Pretorius_ Marthi'", " 'Pringle_ Kimberly'", " 'Printsevskaya_ Svetlana S.'", " 'Prischi_ Filippo'", " 'Pronost_ Stéphane'", " 'Prosperi_ Santino'", " 'Prüfer_ Steffen'", " 'Pu_ Jing'", " 'Puechmaille_ Sébastien J.'", " 'Pumpor_ Ksenia'", " 'Puntambekar_ Shweta S.'", " 'Puro_ V.'", " 'Pusterla_ N.'", " 'Pusterla_ Nicola'", " 'Puthavathana_ Pilaipan'", " 'Pyrc_ Krzysztof'", " 'Pyrc_ Krzysztov'", " 'Pérez-Alvarado_ Gabriela C'", " 'Pérez-Alvarado_ Gabriela C.'", " 'Pérez-Breña_ Pilar'", " 'Pérez_ Ariadna'", " 'Pérez_ Lester J.'", " 'Pérez_ Mónica'", " 'Pöhlmann_ Stefan'", " 'Qasim_ Ibrahim'", " 'Qi_ Jianxun'", " 'Qi_ Zhong-Tian'", " 'Qi_ Zhong-tian'", " 'Qian_ Z. H.'", " 'Qian_ Zhaohui'", " 'Qin_ C.'", " 'Qin_ Chuan'", " 'Qin_ Jun'", " 'Qin_ Kun'", " 'Qin_ Lan'", " 'Qin_ Zhao-Lin'", " 'Qing_ Tingting'", " 'Qisheng Li_ Frank'", " 'Qiu-Peng_ Wang'", " 'Qiu_ Hongjie'", " 'Qiu_ Shuyan'", " 'Qiu_ Zhifeng'", " 'Qu_ Xiuxia'", " 'Quaas_ Janine'", " 'Quan_ Lijun'", " 'Queen_ K.'", " 'Quillien_ M.C.L.'", " 'Quispe_ Joel'", " 'REPASS_ JOHN F.'", " 'RESENDE_ Maurício'", " 'Raaben_ Matthijs'", " 'Rabaa_ M. A.'", " 'Rabaan_ Ali A.'", " 'Rabeeah_ Abdullah A. Al'", " 'Rabenau_ Holger'", " 'Rabouw_ Huib H.'", " 'Rademann_ Jörg'", " 'Radford_ Alan D.'", " 'Radogna_ Arianna'", " 'Radonovich_ Lewis'", " 'Radoshitzky_ Sheli R.'", " 'Rafea_ Bushra'", " 'Ragan_ Izabela K.'", " 'Rahman_ Mahmudur'", " 'Rahman_ Mohammed Ziaur'", " 'Rahman_ Motiur'", " 'Raina MacIntyre_ C'", " 'Rainer_ Timothy H.'", " 'Raj_ Stalin V.'", " 'Raj_ Stalin'", " 'Raj_ V Stalin'", " 'Raj_ V. Stalin'", " 'Rajfur_ Zenon'", " 'Rall_ Glenn F.'", " 'Rallis_ Timoleon S.'", " 'Ramakrishna_ Chandran'", " 'Rambaut_ Andrew'", " 'Ramirez_ Sydney I.'", " 'Ramsey_ Ian'", " 'Ran_ Jinjun'", " 'Ran_ Lin'", " 'Ran_ Ling'", " 'Ran_ Longsi'", " 'Ranada_ Francesca'", " 'Randell_ Scott H.'", " 'Rani_ Manjusha'", " 'Ranken_ Raymond'", " 'Ranst_ Marc Van'", " 'Rao_ Chun-Ming'", " 'Rao_ Martin'", " 'Rao_ Meena'", " 'Rao_ Zihe'", " 'Rapin_ Noreen'", " 'Rasheed_ Mohammed Ata Ur'", " 'Rashid_ H.'", " 'Rashid_ Muhammad M.'", " 'Rasmussen_ Thomas Bruun'", " 'Rasoul_ IHassab El'", " 'Rasouli_ Rahimeh'", " 'Rathnayake_ Athri D.'", " 'Ratia_ Kiira'", " 'Rattray_ Rogan M.'", " 'Rautenschlein_ Silke'", " 'Ravi_ Mini'", " 'Ray_ C.George'", " 'Razavi_ Mahmood K.'", " 'Razdan_ Raj'", " 'Reagan-Steiner_ Sarah'", " 'Reba_ Richard C.'", " 'Reed_ Mark L.'", " 'Reel_ Amy'", " 'Reese_ Heather'", " 'Regan_ Andrew D.'", " 'Reggiori_ Fulvio'", " 'Regla-Nava_ Jose A.'", " 'Rehman_ Safikur'", " 'Reiche_ Sven'", " 'Reichelt_ Mike'", " 'Rein_ Theo'", " 'Reinacher_ M'", " 'Reinacher_ M.'", " 'Reinacher_ Manfred'", " 'Reiter_ Manfred'", " 'Rejas_ Maria Teresa'", " 'Ren_ Ee-Chee'", " 'Ren_ Hao'", " 'Ren_ Junyuan'", " 'Ren_ Lili'", " 'Ren_ Tao'", " 'Ren_ Xiangpeng'", " 'Ren_ Xue-Qun'", " 'Ren_ Zhilin'", " 'Renault_ Camille'", " 'Rennekamp_ Andrew J.'", " 'Renström_ Lena'", " 'Renukaradhya_ Gourapura J.'", " 'Repass_ John F.'", " 'Resende_ Maurício'", " 'Ressel_ Lorenzo'", " 'Reusken_ Chantal B.'", " 'Reusken_ Chantal B.E.M.'", " 'Reusken_ Chantal'", " 'Rey_ David'", " 'Rey_ Félix A.'", " 'Rezaei_ Farshid'", " 'Rezza_ Giovanni'", " 'Rha_ Brian'", " 'Rhee_ J.Y.'", " 'Rhee_ Ji-Young'", " 'Rho_ S.'", " 'Riang_ Lilianty'", " 'Ribera_ Alba M.'", " 'Ricci_ Dominga'", " 'Richard_ Mathilde'", " 'Richardson_ Christopher D.'", " 'Richtzenhain_ L. J.'", " 'Richtzenhain_ Leonardo J.'", " 'Ricks_ Philip'", " 'Riddell_ Sarah'", " 'Ridoré_ Michelande'", " 'Rigsby_ Peter'", " 'Rihtarič_ Danijela'", " 'Rinaldi_ Vera D.'", " 'Rini_ James M.'", " 'Rioux_ C.'", " 'Ripa_ T.'", " 'Ritz_ Daniel'", " 'Robert_ J.'", " 'Roberts_ Anjeanette'", " 'Roberts_ Rhonda'", " 'Robertson_ Jon S.'", " 'Robertson_ Jon'", " 'Robetto_ Serena'", " 'Rocca_ Stefano'", " 'Rodpan_ Apaporn'", " 'Rodriguez_ D.'", " 'Rohde_ Gernot'", " 'Rohrmann_ G.F.'", " 'Rolfes_ Melissa'", " 'Rolley_ Nicola J.'", " 'Rollin_ Pierre E.'", " 'Rollin_ Pierre'", " 'Roohi_ Shahrokh'", " 'Roper_ Lauren'", " 'Rosa_ A.C.G.'", " 'Rosati_ Sergio'", " 'Rose_ Erica Billig'", " 'Rose_ John K.'", " 'Rosenke_ Rebecca'", " 'Ross_ Howard A.'", " 'Rossen_ John W.A.'", " 'Rossi_ Bernard'", " 'Rossow_ Stephanie'", " 'Rostal_ Melinda K.'", " 'Rota_ Paul A.'", " 'Rotenberg_ Ditza'", " 'Roth_ Braden M.'", " 'Roth_ Hanna'", " 'Rothwell_ Lisa'", " 'Rottier_ P.J.M.'", " 'Rottier_ Peter J. M.'", " 'Rottier_ Peter J.M.'", " 'Rottier_ Peter JM'", " 'Rotz_ Lisa'", " 'Roukaerts_ Inge D. M.'", " 'Routh_ Janell'", " 'Rovida_ Francesca'", " 'Rovira_ Albert'", " 'Rowe_ Thomas'", " 'Rowland_ Raymond R. R.'", " 'Rowley_ Anne H.'", " 'Rozovics_ Janet M.'", " 'Ruan_ Hong-Qiang'", " 'Ruan_ Jishou'", " 'Ruan_ Li'", " 'Ruan_ Yijun'", " 'Rudolph_ Michael C.'", " 'Ruggieri_ Michael R.'", " 'Run_ Peter R. van'", " 'Ryo_ Akihide'", " 'Ryoo_ Seung Gwan'", " 'Ryu_ Hyung Won'", " 'Ryu_ Young Bae'", " 'SAITO_ Namiko'", " 'SANTOS_ Marcus Rebouças'", " 'SASAI_ Kazumi'", " 'SATOH_ Kumi'", " 'SENTSUI_ Hiroshi'", " 'SHIMODA_ Hiroshi'", " 'SILVA-JÚNIOR_ Abelardo'", " 'SILVA_ Fernanda Miquelitto Figueira'", " 'SILVA_ Laura Morais Nascimento'", " 'SMERDOU_ CRISTIAN'", " 'SPAAN_ WILLY J.M.'", " 'Saad_ Ahmed'", " 'Saadat_ Seyed Hassan'", " 'Sabara_ Marta'", " 'Sabella_ Patricia'", " 'Sabir_ Jamal S. M.'", " 'Sada_ Y.'", " 'Sadat_ Musharaf'", " 'Sadiq_ Bakr M. Bin'", " 'Sadler_ Carol'", " 'Sadran_ Musallam'", " 'Saheki_ K.'", " 'Said_ Mohammed Y.'", " 'Saif_ L.J.'", " 'Saif_ Linda J.'", " 'Saif_ Linda'", " 'Saijo_ Masayuki'", " 'Sainsbury_ Sarah'", " 'Saito_ Kengo'", " 'Sakhatskyy_ Pavlo V.'", " 'Sakr_ Ezzeldin A.'", " 'Sakthivel_ Senthil Kumar'", " 'Sakthivel_ Senthilkumar K.'", " 'Sakurada_ Haruko'", " 'Salah_ Fatmah'", " 'Salameh_ Iyad'", " 'Saldanha_ Adrian'", " 'Salditt_ T.'", " 'Salditt_ Tim'", " 'Saleem_ S.'", " 'Saleh_ Mohamed'", " 'Salemi_ Marco'", " 'Salih_ Samer'", " 'Salinas_ Andrea'", " 'Salinas_ J.'", " 'Salmon_ Jerome'", " 'Samant_ Vivek'", " 'Sampedro_ Fernando'", " 'Samudrala_ Ram'", " 'Samuel_ Melissa S.'", " 'Sanchez_ Anthony'", " 'Sanchez_ Javier'", " 'Sanchez_ Maria D.'", " 'Sangsajja_ Chariya'", " 'Sanmiguel_ Julio C.'", " 'Santana_ Nelson'", " 'Santiago_ César'", " 'Santos_ Márcia M.B.'", " 'Sapp_ K.'", " 'Saquib_ Nazmus'", " 'Sarafianos_ Stefan G.'", " 'Sarasini_ Antonella'", " 'Saravanan_ Rathi'", " 'Sarmiento_ Luisa'", " 'Sarna_ Michal'", " 'Sasaki_ Takashi'", " 'Sasazuki_ Takehiko'", " 'Sasse_ J.'", " 'Sasse_ Jurgen'", " 'Sata_ Tetsutaro'", " 'Satkunarajah_ Malathy'", " 'Sato_ R'", " 'Sato_ Yuka'", " 'Sato_ Yuko'", " 'Saturday_ Greg'", " 'Savarin_ Carine'", " 'Savidis-Dacho_ Helga'", " 'Savolainen-Kopra_ C.'", " 'Sawicki_ Dorothea L'", " 'Sawicki_ Stanley G.'", " 'Sayed_ Falak'", " 'Saylors_ Karen'", " 'Sayre_ Philip J.'", " 'Sbrana_ Elena'", " 'Scarlett_ Jennifer'", " 'Schager_ Anna'", " 'Scheuer_ Robina'", " 'Scheuermann_ Richard H.'", " 'Schifano_ E.'", " 'Schiffer_ Joshua T.'", " 'Schindelar_ Jessica'", " 'Schipper_ Debby'", " 'Schmidt_ Christian L.'", " 'Schmidt_ Marco F.'", " 'Schmitz_ M. Lienhard'", " 'Schneider_ Eileen'", " 'Schneider_ Martha'", " 'Schneider_ Rainer'", " 'Schofield_ Warren'", " 'Schonfeld_ Sergio'", " 'Schrader_ D.'", " 'Schrader_ D.L.'", " 'Schreiber_ Steven S.'", " 'Schuchat_ Anne'", " 'Schuijff_ Leontine S.'", " 'Schumer_ Gregory'", " 'Schuurman_ Nancy'", " 'Schwartz_ Dirk'", " 'Schwarz_ Frank'", " 'Schwarz_ Wolfgang'", " 'Schwegmann-Wessels_ Christel'", " 'Schwegmann-Weßels_ Christel'", " 'Schweiger_ Brunhilde'", " 'Schwender_ S.'", " 'Schäfer_ Alexandra'", " 'Schätzl_ Hermann M.'", " 'Schöpf_ Julia'", " 'Scott_ Dana P.'", " 'Scott_ Dana'", " 'Scott_ E.'", " 'Scott_ Jamie K.'", " 'Scott_ Sarah'", " 'Se-Thoe_ Su Yun'", " 'See_ Raymond H.'", " 'Seebach_ Judith'", " 'Seebens_ Antje'", " 'Seetharaman_ Jayaraman'", " 'Segalés_ Joaquim'", " 'Seid_ Christopher A.'", " 'Seidah_ N.G.'", " 'Seidel_ Jurgen'", " 'Seki_ Takaki'", " 'Seley-Radtke_ Katherine L.'", " 'Selim_ Mohei A.A.'", " 'Selisko_ Barbara'", " 'Selleri_ M.'", " 'Selvarajah_ Gayathri Thevi'", " 'Selvaraju_ Suresh'", " 'Semba_ Shohei'", " 'Semler_ Bert L.'", " 'Sentsui_ Hiroshi'", " 'Seo_ Dong-Won'", " 'Seo_ S. H.'", " 'Seo_ Soo Hyun'", " 'Seok_ Hyeri'", " 'Seok_ Seung-Hyeok'", " 'Seol_ H.Y.'", " 'Seong_ Baik L.'", " 'Seong_ Churl-Min'", " 'Seong_ Moon-Woo'", " 'Seong_ Yu Min'", " 'Setiyono_ A.'", " 'Seto_ W. H.'", " 'Seto_ W.H.'", " 'Seto_ Wing H.'", " 'Shabouni_ Omaima'", " 'Shadab_ Azadeh'", " 'Shafei_ Mah’d'", " 'Shafiei Jandaghi_ Nazanin Zahra'", " 'Shah_ Masaud'", " 'Shalaby_ M.A.'", " 'Shalhoub_ S.'", " 'Shamaki_ David'", " 'Shan_ Shi-Fang'", " 'Shan_ Yajun'", " 'Shang_ Meili'", " 'Shao_ Jian-Zhong'", " 'Shao_ Yi-Ming'", " 'Shao_ Yuhao'", " 'Shapiro_ L.H.'", " 'Sharff_ Andrew'", " 'Sharon_ Chetna'", " 'Sharpe_ Samuel'", " 'She_ Yinglong'", " 'Sheahan_ Maureen'", " 'Sheahan_ Tim'", " 'Sheahan_ Timothy P.'", " 'Shean_ Ryan C.'", " 'Sheehy_ Paul A'", " 'Sheehy_ Paul A.'", " 'Shehabi_ A.'", " 'Shehata_ Mahmoud M'", " 'Shehata_ Mahmoud M.'", " 'Shehata_ Mahmoud'", " 'Sheikh Ali_ Sami'", " 'Sheikh_ Farrukh Amin'", " 'Shemer Avni_ Yonat'", " 'Shen_ Can'", " 'Shen_ Hao'", " 'Shen_ Hongyuan'", " 'Shen_ Jianhua'", " 'Shen_ Jingkang'", " 'Shen_ S.'", " 'Shen_ Shuo'", " 'Shen_ Tian'", " 'Shen_ Wenyuan'", " 'Shen_ Xiaolan'", " 'Shen_ Xu'", " 'Shen_ Xu-Rui'", " 'Shen_ Yo-Yu'", " 'Sheng_ Bun'", " 'Sheng_ Jie'", " 'Sheng_ Wang-Hwei'", " 'Sheng_ Yi'", " 'Sheng_ YiWei'", " 'Sherbeeni_ Nisreen Al'", " 'Shetty_ Varun'", " 'Shi_ Chong-Shan'", " 'Shi_ Da'", " 'Shi_ Hong-Yan'", " 'Shi_ Hongyan'", " 'Shi_ Jian'", " 'Shi_ Lin'", " 'Shi_ Lv'", " 'Shi_ M.'", " 'Shi_ Mang'", " 'Shi_ Mijuan'", " 'Shi_ Mu De'", " 'Shi_ Mu-De'", " 'Shi_ Tie Liu'", " 'Shi_ Wei'", " 'Shi_ Xinfu'", " 'Shi_ Xuanling'", " 'Shi_ Yi'", " 'Shi_ Yuling'", " 'Shi_ Zheng-Li'", " 'Shi_ Zhengli'", " 'Shichijo_ Shigeki'", " 'Shie_ Jiun-Jie'", " 'Shieh_ Chi-Chang K.'", " 'Shieh_ Chien-Kou'", " 'Shieh_ Wun-Ju'", " 'Shields_ Shelly'", " 'Shih_ Tzu-Ping'", " 'Shih_ Yi-Ping'", " 'Shimojima_ Masayuki'", " 'Shin_ Bo-Moon'", " 'Shin_ Hyoung-Shik'", " 'Shin_ Hyun-Young'", " 'Shin_ Jin Soo'", " 'Shin_ Sung-Shik'", " 'Shin_ Young Sup'", " 'Shin_ Youngseo'", " 'Shindo_ Nahoko'", " 'Shirah_ Bader'", " 'Shirasawa_ Hiroshi'", " 'Shirato_ Kazuya'", " 'Shirin_ Tahmina'", " 'Shirude_ Shreya'", " 'Shiu_ Kai-Biu'", " 'Shiu_ Shi-Yi'", " 'Shockey_ Caitlin'", " 'Shoss_ Alon'", " 'Shrestha_ Laxman'", " 'Shu_ Dingming'", " 'Shuai_ Huiping'", " 'Shugart_ Jill'", " 'Shurson_ Gerald C.'", " 'Si_ Bin-Ying'", " 'Si_ Bingyin'", " 'Si_ Hao-Rui'", " 'Sia_ Sin Fun'", " 'Siddell_ Stuart G'", " 'Siddell_ Stuart G.'", " 'Siddell_ Stuart'", " 'Siddiq_ Salma S.'", " 'Side_ Lisa H.'", " 'Sieberg_ Andrea'", " 'Siemens_ Artem'", " 'Sigalov_ Alexander B.'", " 'Silberberg_ Donald H.'", " 'Silkstone_ Malcolm A.'", " 'Silva_ Fernanda Miquelitto Figueira'", " 'Silverman_ Robert H.'", " 'Simas_ Paulo V.M.'", " 'Simmonds_ P.'", " 'Simmons_ Graham'", " 'Simon_ Arne'", " 'Simpson_ Jeremy C.'", " 'Simpson_ Joyce'", " 'Simpson_ Robert W.'", " 'Sims_ Amy C.'", " 'Sindi_ Anees'", " 'Sindy_ Abdulfattah I.'", " 'Siniscalchi_ Marcello'", " 'Sirois_ Suzanne'", " 'Sironi_ Manuela'", " 'Sittidetboripat_ Nuntaporn'", " 'Siu_ Kam-Leung'", " 'Siu_ Lewis Y.'", " 'Siu_ Yu-Lam'", " 'Sizun_ J.'", " 'Sizun_ Jacques'", " 'Skakni_ Leila'", " 'Slayton_ Rachel B.'", " 'Slezak_ Tom'", " 'Slifka_ Kara Jacobs'", " 'Slim_ Amine'", " 'Smart_ Oliver S.'", " 'Smee_ Donald F.'", " 'Smit_ Erasmus'", " 'Smith_ Aaron J.'", " 'Smith_ Gale E.'", " 'Smith_ Gale'", " 'Smith_ Gavin J.D.'", " 'Smith_ Greg'", " 'Smith_ I.'", " 'Smith_ Indra Pandya'", " 'Smith_ Jonathan'", " 'Smits_ Constance'", " 'Smits_ Saskia L.'", " 'Snijder_ Eric J'", " 'Snijder_ Eric J.'", " 'Snijder_ Joost'", " 'So_ Min Kyung'", " 'Sobhy_ Heba'", " 'Soe_ Lisa H.'", " 'Soejoedono_ R. D.'", " 'Soilleux_ Elizabeth J.'", " 'Sola_ I.'", " 'Sola_ Isabel'", " 'Solan_ Yahia'", " 'Solanes_ David'", " 'Solano_ Carlos'", " 'Solomon_ Jeffrey'", " 'Solovieva_ Svetlana E.'", " 'Somily_ Ali M.'", " 'Son_ Ahyun'", " 'Son_ Dae-Soon'", " 'Son_ J.S.'", " 'Song_ Daesub'", " 'Song_ Du Hyun'", " 'Song_ Huai-Dong'", " 'Song_ Jae-Hoon'", " 'Song_ Jeong-Sup'", " 'Song_ Jin-Won'", " 'Song_ Jingdong'", " 'Song_ Jong Hwan'", " 'Song_ Kyoung-Ho'", " 'Song_ M.'", " 'Song_ Man Ki'", " 'Song_ Shujing'", " 'Song_ Xijun'", " 'Song_ Yajun'", " 'Song_ Yang'", " 'Song_ Yulong'", " 'Song_ Zhenhui'", " 'Song_ Zhi-Gang'", " 'Sonnenberg_ Karen'", " 'Sood_ Geeta'", " 'Soong_ Tuck Wah'", " 'Soroush_ Mahmood'", " 'Soule_ G'", " 'Souza_ S.P.'", " 'Sozzi_ Enrica'", " 'Spaan_ Willy J.M.'", " 'Spackman_ Erica'", " 'Spagnolo_ Jeannie F.'", " 'Spanier_ Julia'", " 'Spanò_ A.'", " 'Sparks_ Jennifer S.'", " 'Speicher_ David J.'", " 'Spekreijse_ Dieuwertje'", " 'Spiegel_ Martin'", " 'Spiga_ Ottavia'", " 'Spiro_ David J.'", " 'Spiro_ David'", " 'Spitzbarth_ Ingo'", " 'Spyridaki_ Aikaterini'", " 'Sridhar_ Vaishnavi Sneha'", " 'St-Jean_ Julien R.'", " 'St-Pierre_ Yves'", " 'St. Claire_ Marisa'", " 'St. John_ Sarah E.'", " 'Stadler_ Konrad'", " 'Staib_ Caroline'", " 'Stalder_ Hanspeter'", " 'Stalin Raj_ V.'", " 'Stamou_ Dimitrios G.'", " 'Stang_ Alexander'", " 'Stanton_ Lawrence W'", " 'Stanton_ Lawrence W.'", " 'Stauffer_ Shaun R.'", " 'Steffen_ Imke'", " 'Steinhoff_ Mark C'", " 'Stellberger_ Thorsten'", " 'Stemmy_ Erik J.'", " 'Stenger_ Mark'", " 'Stevens_ Raymond C.'", " 'Stewart_ Lucy'", " 'Stipp_ Danilo T.'", " 'Stittelaar_ Koert J.'", " 'Stohlman_ S.A.'", " 'Stohlman_ Stephen A.'", " 'Stokes_ Helen'", " 'Stokstad_ Maria'", " 'Stollar_ Sarah'", " 'Stoneman_ Emily K.'", " 'Storz_ Johannes'", " 'Stranieri_ Angelica'", " 'Strocher_ Ute'", " 'Strochkov_ Vitaliy M.'", " 'Strous_ G.J.A.M.'", " 'Strych_ Ulrich'", " 'Stuart_ David I.'", " 'Stuckey_ Matthew'", " 'Sturman_ Lawrence S.'", " 'Su_ Bi-Ling'", " 'Su_ Ceyang'", " 'Su_ Chan-Ping'", " 'Su_ Haoxiang'", " 'Su_ Ih-Jen'", " 'Su_ Juan'", " 'Su_ Liya'", " 'Su_ Mei-Chi'", " 'Su_ Mingjun'", " 'Su_ Shan'", " 'Su_ Shun-Pi'", " 'Su_ Ying-Wen'", " 'Su_ Yvonne C.F.'", " 'Suarez_ David L.'", " 'Subahi_ Ahmad'", " 'Subbarao_ Kanta'", " 'Subedar_ Alaa T.'", " 'Subissi_ Lorenzo'", " 'Subramanian_ Vanitha'", " 'Suchma_ Katie'", " 'Sue_ Shih-Che'", " 'Sui_ Jianhua'", " 'Sullivan_ Christopher S.'", " 'Sultana_ Sharmin'", " 'Sultankulova_ Kulyaisan T.'", " 'Sun_ Bing'", " 'Sun_ Chiao-Yin'", " 'Sun_ Chuyang'", " 'Sun_ Dongbo'", " 'Sun_ Guangyu'", " 'Sun_ Hui-Min'", " 'Sun_ Jing'", " 'Sun_ Jingchuan'", " 'Sun_ Junfeng'", " 'Sun_ Kai'", " 'Sun_ Shihui'", " 'Sun_ Shiqi'", " 'Sun_ Shiwei'", " 'Sun_ Tao'", " 'Sun_ Tianhao'", " 'Sun_ Wellington'", " 'Sun_ Xiao'", " 'Sun_ Yali'", " 'Sun_ Yanwei'", " 'Sun_ Ying'", " 'Sun_ Zhiwu'", " 'Sun_ Ziyong'", " 'Sung_ Chang-Min'", " 'Sung_ H.'", " 'Sung_ Heungsup'", " 'Sung_ J.J.Y.'", " 'Sung_ Jemin'", " 'Sung_ Joseph J. Y.'", " 'Sung_ Joseph J.Y'", " 'Sung_ Joseph J.Y.'", " 'Sunshine_ Brittany'", " 'Sure_ Klaus'", " 'Surya_ Wahyu'", " 'Sutter_ Gerd'", " 'Suzaki_ Yuriko'", " 'Suzuki_ Ayako'", " 'Suzuki_ Tetsuro'", " 'Suzumura_ Akio'", " 'Suñé_ Carlos'", " 'Swanepoel_ Robert'", " 'Swerdlow_ David L.'", " 'Sykes_ Tamara'", " 'Sylverken_ Augustina'", " 'Syriac_ Ginu'", " 'Szczepanski_ Artur'", " 'Szczubiałka_ Krzysztof'", " 'Sze_ Kong-Hung'", " 'Szladovits_ Balázs'", " 'Szymansky_ J.'", " 'Sánchez_ C.M.'", " 'Séron_ Karin'", " 'Süss_ Jochen'", " 'TAGUCHI_ FUMIHIRO'", " 'TAHARAGUCHI_ Satoshi'", " 'TAJIMA_ Tomoko'", " 'TAKAMI_ Yoshinori'", " 'TAKIMOTO_ KAZUHIRO'", " 'TAKIZAWA_ Masaki'", " 'TAMUKAI_ Kenichi'", " 'TANOUE_ Tomoaki'", " 'TANYI_ J.'", " 'TERADA_ Yukata'", " 'TERADA_ Yutaka'", " 'TSUJIMURA_ Koji'", " 'Tabiin_ Tani M.'", " 'Tafani_ Marco'", " 'Taguchi_ Fumihiro'", " 'Taha_ Mustafa Ahmed H.'", " 'Taha_ Yusri'", " 'Taharaguchi_ Satoshi'", " 'Tahir_ Zarfishan'", " 'Tai_ Vo Nhut'", " 'Tai_ Wanbo'", " 'Takahashi_ Toshikazu'", " 'Takano_ Tomomi'", " 'Takayama_ Ikuyo'", " 'Takebe_ Yutaka'", " 'Takeda_ Makoto'", " 'Takeda_ Naokazu'", " 'Takemori_ Toshitada'", " 'Takeuchi_ Yasuhiro'", " 'Talbot_ P.J.'", " 'Talbot_ Pierre J'", " 'Talbot_ Pierre J.'", " 'Tam_ J.P.'", " 'Tam_ James P.'", " 'Tam_ John S.'", " 'Tam_ John Siu-Lun'", " 'Tam_ Pham Thi Thanh'", " 'Tamamura_ Hirokazu'", " 'Tamborini_ Alice'", " 'Tamin_ Azaibi'", " 'Tan_ Anthony T.'", " 'Tan_ Bing'", " 'Tan_ Edward'", " 'Tan_ H.-C.'", " 'Tan_ H.C.'", " 'Tan_ Hwee Cheng'", " 'Tan_ Jenny'", " 'Tan_ Jinzhi'", " 'Tan_ Kian-Pin'", " 'Tan_ Lei'", " 'Tan_ Timothy H.P.'", " 'Tan_ Weilong'", " 'Tan_ Wen Siang'", " 'Tan_ Wenjie'", " 'Tan_ Yee-Joo'", " 'Tan_ Yong Wah'", " 'Tanaka_ Satoka'", " 'Taneichi_ Maiko'", " 'Tang_ Colin S.'", " 'Tang_ Da-Jay'", " 'Tang_ Fang'", " 'Tang_ Hon Lok'", " 'Tang_ Hongbing'", " 'Tang_ Hung-Jen'", " 'Tang_ Jian'", " 'Tang_ Kin Fai'", " 'Tang_ Kin-Fai'", " 'Tang_ Ning'", " 'Tang_ Sanyi'", " 'Tang_ Tswen-Kei'", " 'Tang_ Yuxin'", " 'Tang_ Zhijiao'", " 'Tangy_ Frédéric'", " 'Taniwaki_ S. A.'", " 'Tanner_ Julian A.'", " 'Tao_ Jiali'", " 'Tao_ Xinrong'", " 'Tao_ Y.'", " 'Tao_ Ying'", " 'Tao_ Zhao-Wu'", " 'Tarpey_ Ian'", " 'Tarsitano_ Elvira'", " 'Tash_ Adel'", " 'Tashiro_ Masato'", " 'Tashkandi_ Wail'", " 'Tasker_ Séverine'", " 'Tasneem_ Sumaiya'", " 'Tat_ Mahdi'", " 'Tateno_ Chise'", " 'Tatsumi_ Koichiro'", " 'Tatti_ Kathleen M.'", " 'Tatti_ Kathleen'", " 'Tauer_ Christa'", " 'Tavares_ L.'", " 'Tay_ Felicia P. L.'", " 'Tay_ Felicia P.L.'", " 'Taylor_ Deborah R.'", " 'Taylor_ Justin K.'", " 'Te Lintelo_ Eddie G.'", " 'Te_ Nigeer'", " 'Tech_ Stefanie'", " 'Tedder_ Richard S.'", " 'Tee_ Kok Keng'", " 'Teeling_ Emma'", " 'Teepe_ Carola'", " 'Tekes_ Gergely'", " 'Teleman_ Monica D.'", " 'Tellier_ R.'", " 'Temperton_ Nigel'", " 'Tempesta_ M'", " 'Tempesta_ M.'", " 'Tempesta_ Maria'", " 'Tempia_ Stefano'", " 'Templeton_ Kate E.'", " 'Teng_ Henry'", " 'Terada_ Yutaka'", " 'Terol_ María José'", " 'Tessema_ Tesfaye Sisay'", " 'Tesson_ Vincent'", " 'Tham_ Nguyen Thi Hong'", " 'Thanh_ Tran Thi Thanh'", " 'Theelen_ M.J.P.'", " 'Theriault_ Steven'", " 'Theuerkorn_ Martin'", " 'Theuns_ Sebastiaan'", " 'Thiel_ Heinz-Jürgen'", " 'Thiel_ Volker'", " 'Thientong_ Varaporn'", " 'Thomas Wang_ Hwa-Tang'", " 'Thomas_ Benjamin'", " 'Thomas_ Tina'", " 'Thomasson_ David'", " 'Thompson_ Corinne'", " 'Thongpan_ Ilada'", " 'Thornburg_ Natalie J'", " 'Thornburg_ Natalie J.'", " 'Thu_ Huynh Thi Kim'", " 'Thuan_ Nguyen Dac'", " 'Thurkow_ Ingrid'", " 'Thwaites_ G. E.'", " 'Tian_ Jun-Hua'", " 'Tian_ Lin'", " 'Tian_ Qing'", " 'Tielsch_ James M'", " 'Tien_ Nguyen Thi Hong'", " 'Tien_ Ni'", " 'Tien_ Po'", " 'Tieszer_ Christina'", " 'Tijssen_ Peter'", " 'Tilton_ Susan C.'", " 'Timen_ Aura'", " 'Tinelli_ A'", " 'Tinelli_ A.'", " 'Tinelli_ Antonella'", " 'Tipper_ Jennifer'", " 'To_ Amanda P.C.'", " 'To_ Ka Fai'", " 'To_ Ka-fai'", " 'To_ Kelvin K.W.'", " 'To_ Kelvin Kai-Wang'", " 'To_ Leo Yuk-Fai'", " 'Toan_ Tran Khanh'", " 'Todd_ S. Michelle'", " 'Toffoli_ Roberto'", " 'Tohyama_ K.'", " 'Toivola_ H.'", " 'Tola_ Sebastiana'", " 'Tolah_ Ahmed M.'", " 'Tolf_ Conny'", " 'Tomar_ Sakshi'", " 'Toms_ Renin'", " 'Tong_ Guangzhi'", " 'Tong_ Kwok Lung'", " 'Tong_ S.'", " 'Tong_ Suxiang'", " 'Tong_ Wing-Lok'", " 'Tonietti_ P. O.'", " 'Toplak_ Ivan'", " 'Torres_ Clinton'", " 'Torres_ J.'", " 'Torres_ Jaume'", " 'Tortorici_ M. Alejandra'", " 'Tortorici_ M.Alejandra'", " 'Torzewski_ Lisa'", " 'Totura_ Allison L.'", " 'Town_ Christopher D.'", " 'Toyosawa_ Kaoru'", " 'Trabulsi_ Fadel A.'", " 'Traggiai_ Elisabetta'", " 'Tran_ Thomas'", " 'Trandem_ Kathryn'", " 'Trang_ Hau Thi Thu'", " 'Trapp_ Jonathan'", " 'Travanty_ Emily A.'", " 'Travis Waller_ S'", " 'Traykova-Adonova_ Maya'", " 'Trejaut_ Jean A'", " 'Trent_ Ava M.'", " 'Tresnan_ D.B.'", " 'Treurnicht_ Florette K.'", " 'Tri_ Trinh Quang'", " 'Trinh_ Nguyen Thieu'", " 'Tripet_ Brian'", " 'Trivedi_ Suvang U'", " 'Trivedi_ Suvang'", " 'Trotta_ Adriana'", " 'Trousdale_ M.D.'", " 'Tråvén_ M.'", " 'Tråvén_ Madeleine'", " 'Tsai_ Chang-Hai'", " 'Tsai_ Cheng-Kun'", " 'Tsai_ Ching-Hsiu'", " 'Tsai_ Fuu-Jen'", " 'Tsai_ Hsiao-Han'", " 'Tsai_ Tsung-Lin'", " 'Tsai_ Wan-Ting'", " 'Tsai_ Yun-Long'", " 'Tsai_ Zen-Uong'", " 'Tsakris_ Athanassios'", " 'Tsamlag_ Lhakpa'", " 'Tsang_ Alan K. L.'", " 'Tsang_ Alan K.L.'", " 'Tsang_ Alan KL'", " 'Tsang_ Alan Ka-Lun'", " 'Tsang_ Chi-Ching'", " 'Tsang_ Wai Kay'", " 'Tse_ Herman'", " 'Tse_ Long Ping V.'", " 'Tseng_ Chien-Te (Kent)'", " 'Tseng_ Chien-Te K'", " 'Tseng_ Chien-Te K.'", " 'Tseng_ Chien-Te Kent'", " 'Tseng_ Hsiang-Kuang'", " 'Tseng_ Tsan-Chang'", " 'Tsiodras_ Sotirios'", " 'Tso_ Eugene Yuk-Keung'", " 'Tsoi_ Ho'", " 'Tsoi_ Hoi-Wah'", " 'Tsoi_ Hoi-wah'", " 'Tsoi_ K.K.'", " 'Tsui_ Stephen K.W.'", " 'Tsui_ Stephen Kwok-Wing'", " 'Tsui_ Wayne H.W.'", " 'Tsujimura_ Koji'", " 'Tsukamoto_ Michelle R.'", " 'Tsunetsugu-Yokota_ Yasuko'", " 'Tu_ Jian'", " 'Tu_ Nguyen Canh'", " 'Tu_ Xinming'", " 'Tue_ N. T.'", " 'Tugume_ Titus'", " 'Tumpey_ Terrence M.'", " 'Tung_ Frank Y.T.'", " 'Turan_ N.'", " 'Turk_ Boris'", " 'Turkistani_ AbdulHafiz M.'", " 'Turkistani_ Amal'", " 'Turner_ Andrew'", " 'Turner_ B.C.'", " 'Turner_ Brian C.'", " 'Turner_ Hannah L.'", " 'Tyler_ Shaun'", " 'UCHIDA_ Ikuo'", " 'UNE_ Yumi'", " 'Uberla_ Klaus'", " 'Uchida_ Tetsuya'", " 'Uematsu_ Yosuke'", " 'Ueshiba_ Hidehiro'", " 'Ularamu_ Hussaini'", " 'Ulrich_ Rainer G.'", " 'Umhang_ Gérald'", " 'Urriola_ Pedro E.'", " 'Uršič_ Tina'", " 'Usera_ Fernando'", " 'Uyeki_ Timothy M.'", " 'Uyeki_ Timothy'", " 'Uzzaman_ Mohammed Salim'", " 'VIDIGAL_ Pedro Marcus Pereira'", " 'Vabret_ Astrid'", " 'Vahey_ Grace'", " 'Vaidya_ Dhananjay'", " 'Valderrama_ Amy'", " 'Valle_ C.'", " 'Vallet_ S.'", " 'Vallo_ Peter'", " 'Vallois_ D.'", " 'Van Be Bay_ Phan'", " 'Van Chuong_ Ly'", " 'Van Cuong_ N.'", " 'Van Dung_ N.'", " 'Van Duong_ Hoang'", " 'Van Hung_ Nguyen'", " 'Van Kerkhove_ Maria D.'", " 'Van Kinh_ Nguyen'", " 'Van Lao_ Pham'", " 'Van Minh Hoang_ Nguyen'", " 'Van Minh_ Pham'", " 'Van My_ Nguyen'", " 'Van Ranst_ Marc'", " 'Van Tan_ Dinh'", " 'Van Thang_ Nguyen'", " 'Van Thanh_ Nguyen'", " 'Van Vinh Chau_ Nguyen'", " 'Van Westrienen_ Jesse'", " 'Van Xang_ Nguyen'", " 'Van der Lubben_ Mariken'", " 'Van_ Nguyen Thu'", " 'Vandamme_ Anne-Mieke'", " 'VandeWoude_ Sue'", " 'Vanier_ Gilda'", " 'Vararattanavech_ Ardcharaporn'", " 'Varello_ Katia'", " 'Varga_ Steven M.'", " 'Variava_ Ebrahim'", " 'Vasilakis_ Nikos'", " 'Vasilenko_ Natalia'", " 'Vaughn_ David W'", " 'Veesler_ David'", " 'Vega_ C.'", " 'Vega_ Celina G.'", " 'Vega_ Vinsensius B'", " 'Veiga_ I.'", " 'Velasquez_ Jeffrey'", " 'Veltrop_ Rogier'", " 'Venditti_ Vincenzo'", " 'Venter_ Marietjie'", " 'Verdià-Bàguena_ Carmina'", " 'Verdiá-Báguena_ Carmina'", " 'Vergara-Alert_ Julia'", " 'Vergara-Alert_ Júlia'", " 'Vergara‐Alert_ Júlia'", " 'Verheije_ M. Hélène'", " 'Verheije_ M.H.'", " 'Verheije_ Monique H.'", " 'Verma_ Harsha'", " 'Vermeulen_ Ben L.'", " 'Vest_ Zachary G.'", " 'Vichiwattana_ Preeyaporn'", " 'Victoria_ Matías'", " 'Vidal_ Enric'", " 'Viel_ L.'", " 'Vignolo_ E.'", " 'Vigouroux_ Armelle'", " 'Vijgen_ Leen'", " 'Vilander_ Allison'", " 'Villanueva_ Julie'", " 'Vin_ R.'", " 'Viner_ Molly'", " 'Vinh_ Nguyen Ngoc'", " 'Viswanathan_ Sathiyanarayanan'", " 'Voermans_ Jolanda'", " 'Vogel_ Leatrice'", " 'Volz_ Asisa'", " 'Vongpunsawad_ Sompong'", " 'Vonk_ Annelotte M.'", " 'Vonrhein_ Clemens'", " 'Voortman_ Jarno'", " 'Vuthitanachot_ Chanpim'", " 'Vuthitanachot_ Viboonsuk'", " 'V’kovski_ Philip'", " 'WADA_ Makoto'", " 'WANG_ QIAN'", " 'WATANABE_ Keiichiro'", " 'WEISS_ SUSAN R.'", " 'Wabwire-Mangen_ Fred'", " 'Wachter_ Bettina'", " 'Wademan_ C.'", " 'Wadford_ Debra A.'", " 'Wahn_ Kurt'", " 'Wakayama_ Yumeho'", " 'Wakita_ Takaji'", " 'Walaza_ Sibongile'", " 'Waldenström_ Jonas'", " 'Wali_ Ghassan Y.'", " 'Wali_ Ghassan'", " 'Walker_ Tunicia'", " 'Wallace_ Megan'", " 'Wallington_ Tamara'", " 'Walls_ Alexandra C.'", " 'Walsh_ Craig M.'", " 'Walsh_ Martin'", " 'Walter_ Tom'", " 'Wan_ Carrie K. C.'", " 'Wan_ Chengsong'", " 'Wan_ Cho-Hua'", " 'Wan_ Lei'", " 'Wan_ Yuhua'", " 'Wandersee_ Miles K.'", " 'Wang_ Andrew H.-J.'", " 'Wang_ Bo'", " 'Wang_ Changjun'", " 'Wang_ Chao'", " 'Wang_ Chen G'", " 'Wang_ Chen Ran'", " 'Wang_ Chin-Tien'", " 'Wang_ Ching-Ho'", " 'Wang_ Ching-Ying'", " 'Wang_ Chong'", " 'Wang_ Chunyan'", " 'Wang_ Cong'", " 'Wang_ Cui-E'", " 'Wang_ Dong'", " 'Wang_ Enyu'", " 'Wang_ Fei'", " 'Wang_ Fu-Sheng'", " 'Wang_ Guangwen'", " 'Wang_ Haibo'", " 'Wang_ Hanzhong'", " 'Wang_ Hong Xia'", " 'Wang_ Hong-Xia'", " 'Wang_ Hongxia'", " 'Wang_ Hualei'", " 'Wang_ Hwa-Chain Robert'", " 'Wang_ J. W.'", " 'Wang_ Jann-Tay'", " 'Wang_ Jian'", " 'Wang_ Jiangyuan'", " 'Wang_ Jianwei'", " 'Wang_ Jibin'", " 'Wang_ Jifeng'", " 'Wang_ Jin'", " 'Wang_ Jin-Town'", " 'Wang_ Jinzi'", " 'Wang_ Kai'", " 'Wang_ Kai-Cheng'", " 'Wang_ Kuifeng'", " 'Wang_ L.'", " 'Wang_ Lei'", " 'Wang_ Li'", " 'Wang_ Liang'", " 'Wang_ Lichun'", " 'Wang_ Lijuan'", " 'Wang_ Lili'", " 'Wang_ Lin-Fa'", " 'Wang_ Ling-yun'", " 'Wang_ Lingshu'", " 'Wang_ Maggie H.'", " 'Wang_ Mei-Ching'", " 'Wang_ Mei-Niang'", " 'Wang_ Meitian'", " 'Wang_ Min'", " 'Wang_ Ming'", " 'Wang_ Nan'", " 'Wang_ Nianshuang'", " 'Wang_ Ning'", " 'Wang_ Pengfei'", " 'Wang_ Qi-Min'", " 'Wang_ Qian'", " 'Wang_ Qihui'", " 'Wang_ Qiuling'", " 'Wang_ Quanyi'", " 'Wang_ S.F.'", " 'Wang_ Sheng-Wei'", " 'Wang_ Shiliang'", " 'Wang_ Shiu-Mei'", " 'Wang_ Shixia'", " 'Wang_ Shu-Hui'", " 'Wang_ Shuqing'", " 'Wang_ Shuying'", " 'Wang_ Sifang'", " 'Wang_ Su-Chun'", " 'Wang_ Tian-Bao'", " 'Wang_ Ting-Yun'", " 'Wang_ Wei'", " 'Wang_ Weiming'", " 'Wang_ Wen'", " 'Wang_ Wen-Lin'", " 'Wang_ Wenling'", " 'Wang_ X. M.'", " 'Wang_ X. R.'", " 'Wang_ Xi'", " 'Wang_ Xian-Guang'", " 'Wang_ Xianyue'", " 'Wang_ Xiao-Jia'", " 'Wang_ Xiao-Yi'", " 'Wang_ Xiaojing'", " 'Wang_ Xiaoxing'", " 'Wang_ Xiaoyi'", " 'Wang_ Xiliang'", " 'Wang_ Xing-Huan'", " 'Wang_ Xinquan'", " 'Wang_ Xinyu'", " 'Wang_ Xiwen'", " 'Wang_ Y. M.'", " 'Wang_ Yan-Yi'", " 'Wang_ Yanping'", " 'Wang_ Yanqun'", " 'Wang_ Yi'", " 'Wang_ Ying'", " 'Wang_ Ying-Ting'", " 'Wang_ Yixin'", " 'Wang_ Yong'", " 'Wang_ Yong-Sheng'", " 'Wang_ Yong-Yan'", " 'Wang_ Yu'", " 'Wang_ Yu-Chin'", " 'Wang_ Yuan'", " 'Wang_ Yuelan'", " 'Wang_ Yufei'", " 'Wang_ Yun'", " 'Wang_ Yun-Yun'", " 'Wang_ Zai'", " 'Wang_ Zezhou'", " 'Wang_ Zhihui'", " 'Wang_ Zhong'", " 'Wang_ Zhong-Tian'", " 'Wani_ Tariq A.'", " 'Ward_ Andrew B.'", " 'Ward_ Katherine N.'", " 'Waruhiu_ Cecilia'", " 'Watanabe_ R.'", " 'Watanabe_ Rihito'", " 'Watanabe_ Shumpei'", " 'Waters_ Katrina M.'", " 'Wathen_ Michael'", " 'Watson_ John T.'", " 'Watson_ John'", " 'Watson_ Simon J.'", " 'Watt_ James'", " 'Watt_ Rory M.'", " 'Watts_ Douglas M.'", " 'Waye_ Mary M.Y.'", " 'Waye_ Mary Miu-Yee'", " 'Webb_ Craig'", " 'Webby_ Richard J'", " 'Webby_ Richard J.'", " 'Weber_ Angie'", " 'Weber_ Friedemann'", " 'Weber_ Matheus N.'", " 'Weber_ S.'", " 'Weber_ Stefan'", " 'Webster_ Robert G.'", " 'Weerasekara_ Sahani'", " 'Weerts_ E.A.W.S.'", " 'Weese_ J.S.'", " 'Wege_ H.'", " 'Wege_ Helmut'", " 'Wei_ Chao-Jie'", " 'Wei_ Chia Lin'", " 'Wei_ Dong-Qing'", " 'Wei_ Dongqing'", " 'Wei_ Ping'", " 'Wei_ Qiang'", " 'Wei_ Shan'", " 'Wei_ Tian-Chao'", " 'Wei_ Tianchao'", " 'Wei_ Tsai-Yin'", " 'Wei_ Yanquan'", " 'Wei_ Yen-Chiao'", " 'Wei_ Zheng-Ji'", " 'Weibel_ Carla'", " 'Weibel_ Sara'", " 'Weidmann_ M.'", " 'Weimar_ Thomas'", " 'Weinbaum_ Cindy'", " 'Weiner_ L.P.'", " 'Weingartl_ Hana'", " 'Weinger_ Jason G.'", " 'Weinstock_ George M.'", " 'Weinstock_ George'", " 'Weiss_ Robin A.'", " 'Weiss_ Susan R.'", " 'Weiss_ Susan'", " 'Weissemann_ Jane M.'", " 'Weldon_ William'", " 'Welkers_ Matthijs R.A.'", " 'Wells_ Heather'", " 'Wells_ Kevin D.'", " 'Wen_ Honghua'", " 'Wen_ Lei'", " 'Wen_ Li'", " 'Wen_ Rui-Xing'", " 'Wen_ Yu-Mei'", " 'Wen_ Zhifen'", " 'Wend_ Ulrike'", " 'Wendtner_ Clemens-Martin'", " 'Weng_ Hong'", " 'Wenjie_ Tan'", " 'Wernery_ Renate'", " 'Wernery_ U'", " 'Wernery_ Ulrich'", " 'Wertheim_ Heiman'", " 'Wesley_ Ronald'", " 'Wess_ Gerhard'", " 'Westnedge_ Caroline'", " 'Weyer_ Jessica L.'", " 'Whelband_ Matthew C'", " 'Whitaker_ Brett L.'", " 'Whitaker_ Brett'", " 'Whitaker_ Michael'", " 'White_ A.'", " 'Whitehead_ John'", " 'Whitfield_ S.G.'", " 'Whittaker_ Gary R'", " 'Whittaker_ Gary R.'", " 'Wi_ Y.-M.'", " 'Wicht_ Oliver'", " 'Widagdo_ W.'", " 'Widagdo_ Widagdo'", " 'Widdowson_ Marc-Alain'", " 'Widjaja_ Ivy'", " 'Wiegand_ Marian'", " 'Wigdorovitz_ Andrés'", " 'Wilcox_ Graham E.'", " 'Wileman_ Thomas'", " 'Wilhelm_ Jochen'", " 'Willams_ Ian'", " 'Willey_ Barbara M.'", " 'Williams_ Alcia'", " 'Williams_ Holly'", " 'Williams_ J.V.'", " 'Williams_ Susan M.'", " 'Williamson_ Shawn T.'", " 'Wilson_ Ian A.'", " 'Wilson_ James M.'", " 'Wilson_ Michael W.'", " 'Wilson_ Russell B.'", " 'Wilson_ Steven'", " 'Wimley_ William C.'", " 'Winchell_ Jonas M.'", " 'Winkler_ Michael'", " 'Winkler_ Thomas'", " 'Winter_ Christine'", " 'Wittig_ Sascha'", " 'Wivel_ Nelson A.'", " 'Wojarski_ Jacek'", " 'Wojdyla_ Justyna Aleksandra'", " 'Wolf_ Robert'", " 'Wolfe_ Nathan D.'", " 'Wolfe_ Nathan'", " 'Wolter_ Nicole'", " 'Wolthers_ K.C.'", " 'Woma_ Yusuf'", " 'Wong_ Antonio C. P.'", " 'Wong_ Beatrice H.L.'", " 'Wong_ Bonnie C.W.'", " 'Wong_ Bonnie W.Y'", " 'Wong_ Bosco Ho-Yin'", " 'Wong_ Charlotte'", " 'Wong_ Ching-On'", " 'Wong_ Emily Y. M.'", " 'Wong_ Emily Y.M.'", " 'Wong_ Emily YM'", " 'Wong_ Eric'", " 'Wong_ Freda Pui-Fan'", " 'Wong_ K.T.'", " 'Wong_ Karen'", " 'Wong_ Kin-Ling'", " 'Wong_ Lei-po'", " 'Wong_ Lok-Yin Roy'", " 'Wong_ Luet'", " 'Wong_ On Kei'", " 'Wong_ Po-Chun'", " 'Wong_ S.S.Y.'", " 'Wong_ Tom'", " 'Wong_ Vincent W.S.'", " 'Woo_ Gibson K.S.'", " 'Woo_ H.J.'", " 'Woo_ Hye-Min'", " 'Woo_ P.C.Y.'", " 'Woo_ Patrick C-Y'", " 'Woo_ Patrick C. Y.'", " 'Woo_ Patrick C.Y.'", " 'Woo_ Patrick CY'", " 'Woo_ Patrick Chiu-Yat'", " 'Woo_ Patrick\\xa0C.Y.'", " 'Woo_ Sang Hee'", " 'Wood_ James'", " 'Woods_ Roger D.'", " 'Woolhouse_ M. E.'", " 'Woolhouse_ Mark'", " 'Workman_ Judith'", " 'Worne_ Colleen L.'", " 'Wouters_ Angélica T.B.'", " 'Wrapp_ Daniel'", " 'Wu_ Alan K.L'", " 'Wu_ Alan'", " 'Wu_ Andong'", " 'Wu_ Bingjie'", " 'Wu_ C.'", " 'Wu_ C.C.'", " 'Wu_ Chang-you'", " 'Wu_ Ching Ching'", " 'Wu_ Cuilan'", " 'Wu_ Dalei'", " 'Wu_ Dong-Fang'", " 'Wu_ Hao'", " 'Wu_ Hung-Yi'", " 'Wu_ Jia Rui'", " 'Wu_ Jia-Rui'", " 'Wu_ Jianhong'", " 'Wu_ Jie'", " 'Wu_ Kailang'", " 'Wu_ Lei'", " 'Wu_ Lijie'", " 'Wu_ Mei-Hua'", " 'Wu_ Mu-Zong'", " 'Wu_ Shih-Lu'", " 'Wu_ Weichen'", " 'Wu_ Wen-Jin'", " 'Wu_ Xianbo'", " 'Wu_ Xiao-Dong'", " 'Wu_ Xiao-Ming'", " 'Wu_ Yang-Chang'", " 'Wu_ Ying'", " 'Wu_ Ying-Ta'", " 'Wu_ Yuzhang'", " 'Wu_ Z. Q.'", " 'Wu_ Zhenghui'", " 'Wu_ Zhiqiang'", " 'Wungak_ Yiltawe'", " 'Wyde_ Philip R.'", " 'Wyler_ Robert'", " 'Wylie_ Kristine M.'", " 'Wylie_ Todd N.'", " 'Wüthrich_ Kurt'", " 'Xavier de Castro_ Tatiana'", " 'Xi_ Dong'", " 'Xia_ Dongxiang'", " 'Xia_ Jian'", " 'Xia_ Ningshao'", " 'Xia_ Xian-zhu'", " 'Xia_ Xianzhu'", " 'Xia_ Xiao-Qin'", " 'Xia_ Zanxian'", " 'Xian_ Qiaoyang'", " 'Xiang Liu_ Ding'", " 'Xiang_ Hua'", " 'Xiang_ Ye'", " 'Xiang_ Z. C.'", " 'Xiao_ Geng-Fu'", " 'Xiao_ Han'", " 'Xiao_ He'", " 'Xiao_ Shu-Yuan'", " 'Xiao_ Xincai'", " 'Xiao_ Xun'", " 'Xiao_ Y.'", " 'Xiao_ Yan'", " 'Xiao_ Yanni'", " 'Xiao_ Yueyong'", " 'Xiao_ Zuke'", " 'Xie_ Amy'", " 'Xie_ En'", " 'Xie_ Jia-Zheng'", " 'Xie_ Jian-Ping'", " 'Xie_ Jing'", " 'Xie_ Luyi'", " 'Xie_ Shiqi'", " 'Xie_ Weiqing'", " 'Xie_ Yilu'", " 'Xie_ You Hua'", " 'Xie_ You-Hua'", " 'Xie_ Youhua'", " 'Xin_ Zhong-Tao'", " 'Xing_ Li'", " 'Xing_ Yaling'", " 'Xiong_ Jingliang'", " 'Xiong_ Lei'", " 'Xiong_ Sidong'", " 'Xiong_ Xiaoli'", " 'Xiong_ Y.'", " 'Xiong_ Yong'", " 'Xu_ Chen'", " 'Xu_ Duo'", " 'Xu_ Gang'", " 'Xu_ Gen-Jun'", " 'Xu_ H.Y.'", " 'Xu_ Hai-Bo'", " 'Xu_ Huifang'", " 'Xu_ J. Y.'", " 'Xu_ Jianguo'", " 'Xu_ Jin'", " 'Xu_ Jingyi'", " 'Xu_ Ke'", " 'Xu_ Lin'", " 'Xu_ Ling Hui'", " 'Xu_ Linghui'", " 'Xu_ Lingjie'", " 'Xu_ Lirong'", " 'Xu_ Luoling'", " 'Xu_ Peisheng'", " 'Xu_ Qianqian'", " 'Xu_ Shan'", " 'Xu_ T.'", " 'Xu_ Wei'", " 'Xu_ Wen'", " 'Xu_ Wenbing'", " 'Xu_ Xiaodong'", " 'Xu_ Xiaojun'", " 'Xu_ Xiaoning'", " 'Xu_ Yanfeng'", " 'Xu_ Yan‐feng'", " 'Xu_ Yuhuan'", " 'Xu_ Zhichao'", " 'Xuan_ Hua'", " 'Xuan_ Yifang'", " 'Xue_ Chunyi'", " 'Xue_ Jia'", " 'Xue_ Liang'", " 'Xue_ Xiaoyu'", " 'Xylouri_ E.'", " 'Xylouri_ Eftychia'", " 'YABE_ MIKIKO'", " 'YAMANAKA_ Takashi'", " 'YAMASHITA_ Saya'", " 'YONEMITSU_ Kenzo'", " 'Yalçm_ Ebru'", " 'Yam_ Loretta Y.C.'", " 'Yam_ Wing Cheong'", " 'Yamada_ Yoshiyuki'", " 'Yamaguchi_ Tomohiro'", " 'Yamamoto_ Naoki'", " 'Yamanaka_ Takashi'", " 'Yamate_ Masanobu'", " 'Yammanuru_ Anuradha'", " 'Yan_ Baolong'", " 'Yan_ Bing'", " 'Yan_ Helen Hoi-Ning'", " 'Yan_ Jiangwei'", " 'Yan_ Jinghua'", " 'Yan_ Lei'", " 'Yan_ Liming'", " 'Yan_ Lin-Chen'", " 'Yan_ Meiying'", " 'Yan_ Shaomin'", " 'Yan_ Wing Wa'", " 'Yan_ Xiyun'", " 'Yanfeng_ Yao'", " 'Yang_ Baoan'", " 'Yang_ Bei'", " 'Yang_ Chao-Fu'", " 'Yang_ Dan'", " 'Yang_ Dong'", " 'Yang_ E.'", " 'Yang_ F.'", " 'Yang_ Fan'", " 'Yang_ Guangpu'", " 'Yang_ Haitao'", " 'Yang_ Hong'", " 'Yang_ Huei-Mei'", " 'Yang_ J.'", " 'Yang_ Jeong-Sun'", " 'Yang_ Jyh-Yuan'", " 'Yang_ Kailin'", " 'Yang_ Kun'", " 'Yang_ Lei-Lei'", " 'Yang_ Li-tao'", " 'Yang_ Lin'", " 'Yang_ Ling'", " 'Yang_ Lu'", " 'Yang_ P.-C.'", " 'Yang_ Pan-Chyr'", " 'Yang_ Peng'", " 'Yang_ Rongge'", " 'Yang_ Rui Fu'", " 'Yang_ Rui-Fu'", " 'Yang_ Ruifu'", " 'Yang_ Sheng'", " 'Yang_ Shih-Yan'", " 'Yang_ Songtao'", " 'Yang_ Tsuey-Ching'", " 'Yang_ Wen-Zieh'", " 'Yang_ Xiao'", " 'Yang_ Xiaojun'", " 'Yang_ Xing-Lou'", " 'Yang_ Xingxing'", " 'Yang_ Yang'", " 'Yang_ Yichi'", " 'Yang_ Yiming'", " 'Yang_ Yudong'", " 'Yang_ Yuh-Cheng'", " 'Yang_ Zhanqiu'", " 'Yang_ Zhen'", " 'Yang_ Zhou'", " 'Yang_ Zhouning'", " 'Yao_ Chen-Wen'", " 'Yao_ Deng'", " 'Yao_ Xiao-Mei'", " 'Yao_ Xiaoqiang'", " 'Yao_ Xin'", " 'Yao_ Yanfeng'", " 'Yao_ Yongxiu'", " 'Yao_ Zhenyu'", " 'Yap_ Yee Leng'", " 'Yaqub_ Tahir'", " 'Yassine_ Hadi M.'", " 'Yasui_ Fumihiko'", " 'Yau_ Emily'", " 'Yawei_ Hu'", " 'Yazdanapanah_ Y.'", " 'Ye_ Fei'", " 'Ye_ Fuqiang'", " 'Ye_ Guangming'", " 'Ye_ Li'", " 'Ye_ Linbai'", " 'Ye_ Rong'", " 'Ye_ Tai-Sheng'", " 'Yeap_ Swee Keong'", " 'Yeboah_ Richmond'", " 'Yeh_ Shiou-Hwei'", " 'Yeh_ T.-M.'", " 'Yeh_ Trai-Ming'", " 'Yen_ Cynthia'", " 'Yeo_ Woon-Seok'", " 'Yeo_ Yoon'", " 'Yesilbag_ Kadir'", " 'Yesudhas_ Dhanusha'", " 'Yeung_ Man-Lung'", " 'Yeung_ Yin Shan'", " 'Yezli_ Saber'", " 'Yi_ Zhengping'", " 'Yilla_ Mamadi'", " 'Yilmaz_ H.'", " 'Yilmaz_ Zeki'", " 'Yin_ Jiechao'", " 'Yin_ Lijuan'", " 'Yin_ Xiaolei'", " 'Ying_ Tianlei'", " 'Ying_ Tsung-Ho'", " 'Yingsakmongkon_ Sangchai'", " 'Yip_ Chi Wai'", " 'Yip_ Cyril C. Y.'", " 'Yoneda_ Misako'", " 'Yong_ Dongeun'", " 'Yoo_ D.'", " 'Yoon_ Hee Jung'", " 'Yoon_ Hyunjun'", " 'Yoon_ J.H.'", " 'Yoon_ Jin Gu'", " 'Yoon_ Sook Hee'", " 'Yoon_ Soon-Seek'", " 'York_ Joanne'", " 'Yoshida_ Miyou'", " 'Yoshikawa-Iwata_ Naoko'", " 'Yoshikawa_ Naoko'", " 'Yoshima_ Masayuki'", " 'Yoshinaka_ Yoshiyuki'", " 'Yoshizaki_ Sayaka'", " 'You_ Hui'", " 'Younan_ Mario'", " 'Younker_ Diane'", " 'Yount_ Boyd L.'", " 'Yount_ Boyd'", " 'Yousef_ Abdullah A.'", " 'Yousef_ Anna'", " 'Yu_ Albert Cheung-Hoi'", " 'Yu_ Bin'", " 'Yu_ Byeong Su'", " 'Yu_ Changying'", " 'Yu_ Dejie'", " 'Yu_ Demin'", " 'Yu_ Deshui'", " 'Yu_ Dongdong'", " 'Yu_ Hao'", " 'Yu_ Hong'", " 'Yu_ Hongjie'", " 'Yu_ Hui-Ming'", " 'Yu_ I.T.'", " 'Yu_ Ji Eun'", " 'Yu_ Jian'", " 'Yu_ Jian-Guo'", " 'Yu_ Jian-Min'", " 'Yu_ Meng'", " 'Yu_ Mi-Sun'", " 'Yu_ Qiuhan'", " 'Yu_ Tsan-hung'", " 'Yu_ Wai-Cho'", " 'Yu_ Wenjing'", " 'Yu_ Xiaoyan'", " 'Yu_ Xiaoyue'", " 'Yu_ Xue-Jie'", " 'Yu_ Yedong'", " 'Yuan_ Baoyin'", " 'Yuan_ Fang'", " 'Yuan_ Jian-Wei'", " 'Yuan_ Ming-Li'", " 'Yuan_ Peng'", " 'Yuan_ Q.'", " 'Yuan_ Qing-an'", " 'Yuan_ Quan'", " 'Yuan_ Shuofeng'", " 'Yuan_ Xin Y'", " 'Yuan_ Xin Y.'", " 'Yuan_ Yu-Feng'", " 'Yuan_ Yuan'", " 'Yuan_ Zheng-Hong'", " 'Yuan_ Zhihong'", " 'Yuan_ Zhiming'", " 'Yuann_ Jeu-Ming P.'", " 'Yue_ Liduo'", " 'Yuen_ K. Y.'", " 'Yuen_ K.Y.'", " 'Yuen_ Kit-San'", " 'Yuen_ Kwok Y'", " 'Yuen_ Kwok Y.'", " 'Yuen_ Kwok Yung'", " 'Yuen_ Kwok-Yung'", " 'Yuen_ Kwok-yung'", " 'Yuk_ Heung Joo'", " 'Yumrutas_ Onder'", " 'Yun_ Sun Ae'", " 'Yusof_ M. F. B. M.'", " 'Yú_ Shuǐqìng'", " 'Zahraei_ Bentolhoda'", " 'Zakhartchouk_ Alexander N.'", " 'Zaki_ Sherif R'", " 'Zaki_ Sherif R.'", " 'Zaki_ Sherif'", " 'Zambon_ Maria C.'", " 'Zambon_ Maria'", " 'Zamzam_ Abdelrahman M.M.'", " 'Zaniratti_ M.S.'", " 'Zannas_ Anthony S.'", " 'Zarebski_ Mirosław'", " 'Zaremba_ Sam'", " 'Zatelli_ Andrea'", " 'Zayed_ B.E.'", " 'Zdzalik_ Michal'", " 'Ze-Yu_ Zhao'", " 'Zeenathul_ Nazariah A.'", " 'Zeenathul_ Nazariah Allaudin'", " 'Zeglen_ Slawomir'", " 'Zeglen_ Sławomir'", " 'Zein_ Ahmed'", " 'Zeller_ Mark'", " 'Zellner_ Andreas'", " 'Zemla_ Adam'", " 'Zeng_ Cong'", " 'Zeng_ Fu-Long'", " 'Zeng_ Lei-Ping'", " 'Zeng_ Qinghong'", " 'Zeng_ Rong'", " 'Zeng_ Xian-Tao'", " 'Zeng_ Yang'", " 'Zeng_ Yi'", " 'Zeng_ Yingchun'", " 'Zevenhoven-Dobbe_ Jessika C'", " 'Zevenhoven-Dobbe_ Jessika C.'", " 'Zevenhoven_ Jessika C.'", " 'Zhai_ Junhui'", " 'Zhai_ Shenyu'", " 'Zhan_ Fa-Xian'", " 'Zhan_ Lin'", " 'Zhang_ Bao'", " 'Zhang_ Chengsheng'", " 'Zhang_ Chengwen'", " 'Zhang_ Chi'", " 'Zhang_ Chun-Ting'", " 'Zhang_ Fuchun'", " 'Zhang_ Guoxian'", " 'Zhang_ Guozhong'", " 'Zhang_ Hua-Min'", " 'Zhang_ Huaidong'", " 'Zhang_ Huajun'", " 'Zhang_ J.'", " 'Zhang_ Jing'", " 'Zhang_ Jingfen'", " 'Zhang_ Junpeng'", " 'Zhang_ Keran'", " 'Zhang_ Lei'", " 'Zhang_ Li'", " 'Zhang_ Liangyan'", " 'Zhang_ Lianqi'", " 'Zhang_ Libiao'", " 'Zhang_ Linglin'", " 'Zhang_ Lingxia'", " 'Zhang_ Linqi'", " 'Zhang_ Lu'", " 'Zhang_ Naru'", " 'Zhang_ Pan-He'", " 'Zhang_ Qi'", " 'Zhang_ Qiangmin'", " 'Zhang_ Qingxia'", " 'Zhang_ Qinxia'", " 'Zhang_ Senyan'", " 'Zhang_ Shu-Yi'", " 'Zhang_ Shucheng'", " 'Zhang_ Shuxian'", " 'Zhang_ Shuyi'", " 'Zhang_ Siyao'", " 'Zhang_ Songle'", " 'Zhang_ Tao'", " 'Zhang_ Tingting'", " 'Zhang_ Wanting'", " 'Zhang_ Wei'", " 'Zhang_ Weihong'", " 'Zhang_ Wen'", " 'Zhang_ Wenxia'", " 'Zhang_ Xi'", " 'Zhang_ Xiao-Chun'", " 'Zhang_ Xiaonan'", " 'Zhang_ Xin'", " 'Zhang_ Xin-Xiang'", " 'Zhang_ Xinxin'", " 'Zhang_ Xuming'", " 'Zhang_ Yan'", " 'Zhang_ Yanming'", " 'Zhang_ Yi'", " 'Zhang_ Yin-Gao'", " 'Zhang_ Ying-Wen'", " 'Zhang_ Yong'", " 'Zhang_ Yong-Zhen'", " 'Zhang_ Yongbin'", " 'Zhang_ Yu'", " 'Zhang_ Yu-Ji'", " 'Zhang_ Yu-Ling'", " 'Zhang_ Yuan'", " 'Zhang_ Yue'", " 'Zhang_ Yun'", " 'Zhang_ Yun-Zhi'", " 'Zhang_ Zhaoyong'", " 'Zhang_ Zhe'", " 'Zhang_ Zheng'", " 'Zhang_ Zhou'", " 'Zhao_ Changrun'", " 'Zhao_ Chunhui'", " 'Zhao_ Fei'", " 'Zhao_ Guangyu'", " 'Zhao_ Guoping'", " 'Zhao_ Hong'", " 'Zhao_ Honglan'", " 'Zhao_ Hongling'", " 'Zhao_ Hongxin'", " 'Zhao_ J. P.'", " 'Zhao_ Jincun'", " 'Zhao_ Jing'", " 'Zhao_ Jingxian'", " 'Zhao_ Kai'", " 'Zhao_ Lan-Juan'", " 'Zhao_ Ming-Juan'", " 'Zhao_ Peng'", " 'Zhao_ Ping'", " 'Zhao_ Qi'", " 'Zhao_ Qian'", " 'Zhao_ Qiu-Min'", " 'Zhao_ Rong'", " 'Zhao_ Su'", " 'Zhao_ TingTing'", " 'Zhao_ Wei'", " 'Zhao_ Wei-Jie'", " 'Zhao_ Xiaoyu'", " 'Zhao_ Xin'", " 'Zhao_ Xiwen'", " 'Zhao_ Xuesen'", " 'Zhao_ Yan'", " 'Zhao_ Yang'", " 'Zhao_ Yanjie'", " 'Zhao_ Ye'", " 'Zhao_ Yi'", " 'Zhao_ Yingze'", " 'Zhao_ Zhendong'", " 'Zhao_ Zhengdong'", " 'Zhao_ Zhenhu'", " 'Zheng_ Aihua'", " 'Zheng_ B.J.'", " 'Zheng_ Bo-Jian'", " 'Zheng_ Bo-Jiang'", " 'Zheng_ Bo-jian'", " 'Zheng_ Bojian'", " 'Zheng_ Hong'", " 'Zheng_ Jiao-Jiao'", " 'Zheng_ Litao'", " 'Zheng_ Suxin'", " 'Zheng_ Xiao-Shuang'", " 'Zheng_ Xuexing'", " 'Zheng_ Yang'", " 'Zheng_ Yi'", " 'Zheng_ Yuan'", " 'Zhi_ Yan'", " 'Zhong_ Bo'", " 'Zhong_ Fei'", " 'Zhong_ Nan-Shan'", " 'Zhong_ Qiong'", " 'Zhong_ Yang'", " 'Zhong_ Yanxin'", " 'Zhou_ Dongsheng'", " 'Zhou_ Haixia'", " 'Zhou_ Hu'", " 'Zhou_ Jie'", " 'Zhou_ Liwei'", " 'Zhou_ Liyun'", " 'Zhou_ Peng'", " 'Zhou_ Qingfeng'", " 'Zhou_ Rong'", " 'Zhou_ Tong'", " 'Zhou_ Weimin'", " 'Zhou_ Yanchen'", " 'Zhou_ Yongming'", " 'Zhou_ Yusen'", " 'Zhou_ Zhe'", " 'Zhu_ Airu'", " 'Zhu_ Changqiang'", " 'Zhu_ Guangjian'", " 'Zhu_ Jin'", " 'Zhu_ Na'", " 'Zhu_ Qing'", " 'Zhu_ Qingyu'", " 'Zhu_ Quan'", " 'Zhu_ Runqing'", " 'Zhu_ Shengli'", " 'Zhu_ Xiaopeng'", " 'Zhu_ Xue-Liang'", " 'Zhu_ Xuhui'", " 'Zhu_ Yan'", " 'Zhu_ Ying'", " 'Zhu_ Yunnuan'", " 'Zhu_ Zhaozhong'", " 'Zhuang_ Hui'", " 'Zhuang_ Qing-Ye'", " 'Zhuang_ Zhen'", " 'Zhāng_ Téngfēi'", " 'Zi_ Hao'", " 'Ziebuhr_ J.'", " 'Ziebuhr_ John'", " 'Zilber_ Eyal'", " 'Zimmer_ Ralf'", " 'Zirkel_ Florian'", " 'Zitzow_ Lois A.'", " 'Zlatev_ Ivan'", " 'Zlateva_ Kalina'", " 'Zmora_ Pawel'", " 'Zohaib_ Ali'", " 'Zoltick_ Philip W.'", " 'Zoppi_ Simona'", " 'Zorn_ Juergen'", " 'Zorraga_ Mokhtar'", " 'Zou_ Xiao-Huan'", " 'Zouaoui_ Baha R.'", " 'Zumla_ A.'", " 'Zumla_ Alimuddin'", " 'Zuniga_ Armando'", " 'Zuo_ Jiang-Ping'", " 'Zuo_ Jianping'", " 'Zuo_ Shu-Qing'", " 'Zuo_ Yanling'", " 'Zutt_ Ilse'", " 'Zuñiga_ S.'", " 'Zuñiga_ Sonia'", " 'Züst_ Roland'", " 'de ALMEIDA_ Márcia Rogéria'", " 'de Almeida_ Márcia Rogéria'", " 'de Angelis_ Daniela'", " 'de Arce_ Heidy Díaz'", " 'de Bruin_ Erwin'", " 'de Groot_ R.J.'", " 'de Groot_ Raoul J.'", " 'de Haan_ C.A.M.'", " 'de Haan_ Cornelis A. M.'", " 'de Haan_ Cornelis A.M.'", " 'de Haan_ Cornelis AM'", " 'de Kruif_ John'", " 'de Lamballerie_ X.'", " 'de Meulder_ Dennis'", " 'de Oliveira Bottino_ Fernanda'", " 'de Souza_ Sibele Pinheiro'", " 'de Vries_ Michel'", " 'de Waal_ Leon'", " 'de Wilde_ Adriaan H.'", " 'de Wit_ Emmie'", " 'deVarennes_ Shauna L.'", " 'e Lima_ Luis Mauricio Trambaioli da Rocha'", " 'te Lintelo_ Eddie G.'", " 'ter Meulen_ V.'", " 'ter Meulen_ Volker'", " 'van Amerongen_ Geert'", " 'van Beek_ Janko'", " 'van Bergen en Henegouwen_ Paul M.'", " 'van Beurden_ S.J.'", " 'van Cott_ J.L.'", " 'van Deventer_ Els'", " 'van Dieren_ Brenda'", " 'van Doorn_ H. Rogier'", " 'van Doremalen_ Neeltje'", " 'van Gageldonk-Lafeber_ Arianne B.'", " 'van Haperen_ Rien'", " 'van Hemert_ Formijn'", " 'van Hemert_ Martijn J.'", " 'van Kasteren_ Sander I.'", " 'van Kuppeveld_ Frank J. M.'", " 'van Kuppeveld_ Frank J.'", " 'van Kuppeveld_ Frank'", " 'van Maanen_ Kees'", " 'van Nieuwkoop_ Stefan'", " 'van Straten_ Michael'", " 'van Zyl_ Marjorie'", " 'van den Brand_ Judith M. A.'", " 'van den Brand_ Judith M.A.'", " 'van den Brink_ Edward N'", " 'van den Hoogen_ Bernadette G.'", " 'van den Worm_ Sjoerd H. E.'", " 'van der Eijk_ Annemiek A.'", " 'van der Hoek_ L.'", " 'van der Hoek_ Lia'", " 'van der Meer_ Yvonne'", " 'van der Sluijs_ Peter'", " 'van der Werf_ Sylvie'", " 'van der Zeijst_ B.A.M.'", " 'van der Zeijst_ Bernard A.M.'", " 'van\\xa0der\\xa0Heden\\xa0van\\xa0Noort_ Gerbrand\\xa0J.'", " 'von Brunn_ Albrecht'", " 'von Brunn_ Brigitte'", " 'von Dall’Armi_ Ekatarina'", " 'von Gottberg_ Anne'", " 'von Reitzenstein_ Marcela'", " 'zhu_ Lina'", " 'Álvarez_ Enrique'", " 'Åkerström_ Sara'", " 'Ölschläger_ Stephan'", " 'Überla_ Klaus'", " 'Žigon_ Nina'", '"O\'Connor_ Jennifer Black"', '"V\'kovski_ Philip"', "'0'", "'Ababneh_ Mustafa'", "'Abd El Wahed_ Ahmed'", "'Abdel-Moneim_ Ahmed S.'", "'Abdelwahab_ Mohamed'", "'Abdirizak_ Fatima'", "'Abdul-Rasool_ Sahar'", "'Abdulhaq_ Ahmed A.'", "'Aboagye_ James\\xa0Odame'", "'Abraham_ Sushma'", "'Abroug_ Fekri'", "'Abuhammad_ Areej'", "'Adachi_ D.'", "'Addie_ Diane D'", "'Addie_ Diane D.'", "'Adedeji_ Adeyemi O.'", "'Adegboye_ Oyelola A.'", "'Adney_ Danielle R.'", "'Afzelius_ B. A.'", "'Agnihothram_ Sudhakar'", "'Agostini_ Maria L.'", "'Agrawal_ Anurodh Shankar'", "'Ahmed_ Anwar E.'", "'Ahn_ Dae-Gyun'", "'Ahn_ Insung'", "'Akashi_ H.'", "'Al Ghamdi_ Mohammed'", "'Al Hajjar_ Sami'", "'Al Hosani_ Farida Ismail'", "'Al Kahlout_ Reham A.'", "'Al-Abaidani_ I.S.'", "'Al-Abdallat_ Mohammad Mousa'", "'Al-Abdely_ Hail M.'", "'Al-Ahmadi_ Khalid'", "'Al-Dorzi_ Hasan M.'", "'Al-Khannaq_ Maryam Nabiel'", "'Al-Mohrej_ Ahmad'", "'Al-Omari_ Awad'", "'Al-Tawfiq_ J.A.'", "'Al-Tawfiq_ Jaffar A'", "'Al-Tawfiq_ Jaffar A.'", "'Alagaili_ Abdulaziz N.'", "'Alamillo_ Josefa M.'", "'Alanazi_ Khalid H.'", "'Aleanizy_ Fadilah Sfouq'", "'Alenazi_ Thamer H.'", "'Alexander_ Lorraine K.'", "'Alexandersen_ S'", "'Alfaraj_ Sarah H.'", "'Algahtani_ Hussein'", "'Algaissi_ Abdullah'", "'Alghamdi_ Ibrahim G'", "'Alhamlan_ F S'", "'Alharbi_ Naif Khalaf'", "'Alhogbani_ Tariq'", "'Ali_ Mohamed A'", "'Ali_ Mohamed'", "'Alkhamis_ M. A.'", "'Almazán_ Fernando'", "'Almeida_ Marcius S.'", "'Alonso-Caplen_ Firelli V.'", "'Alonso_ Sara'", "'Alqahtani_ F.Y.'", "'Alraddadi_ Basem M.'", "'Alraddadi_ Basem'", "'Alsaadi_ Entedar A. J.'", "'Alsahafi_ Abdullah J.'", "'Alserehi_ Haleema'", "'Alshahrani_ Mohammed S.'", "'Aly_ Mahmoud'", "'Al‐Tawfiq_ J. A.'", "'Amer_ Alazawy'", "'Amer_ H.M.'", "'Amer_ Haitham M.'", "'Amer_ Hala'", "'Ami_ Yasushi'", "'Amini_ Razieh'", "'Ammar_ Selles Sidi Mohammed'", "'An_ Dong-Jun'", "'Anand_ Kanchan'", "'André_ Nicole M'", "'Angelini_ Megan M.'", "'Anghelina_ Daniela'", "'Anindita_ Paulina Duhita'", "'Annan_ Augustina'", "'Anthony_ S. J.'", "'Anthony_ Simon J.'", "'Antón_ Inés M.'", "'Aouadi_ Wahiba'", "'Arabi_ Yaseen M.'", "'Arabi_ Yaseen'", "'Arbely_ Eyal'", "'Arden_ Katherine E.'", "'Armesto_ Maria'", "'Armstrong_ John'", "'Arndt_ Ariel L.'", "'Arnold_ W.'", "'Arthington_ J.D.'", "'Arwady_ M. Allison'", "'Asano_ Karen Miyuki'", "'Assiri_ Abdullah M.'", "'Assiri_ Abdullah'", "'Atabani_ Sowsan F.'", "'Atherton_ J. G.'", "'Athmer_ Jeremiah'", "'Atkinson_ Jeffrey R.'", "'Aydin_ Halil'", "'Azhar_ Esam I.'", "'BELL_ ET'", "'BOS_ EVELYNE C.W.'", "'Ba_ Lei'", "'Baas_ Tracey'", "'Babcock_ Gregory J.'", "'Bacha_ Usman'", "'Badawi_ Alaa'", "'Bae_ Jong-Myon'", "'Bai_ Bingke'", "'Bailey-Elkin_ Ben A.'", "'Baker_ S. J.'", "'Bakkers_ Mark J. G.'", "'Balboni_ Andrea'", "'Baliji_ Surendranath'", "'Ballesteros_ M.L.'", "'Balzarini_ Jan'", "'Banerjee_ Arinjay'", "'Banerjee_ Sangeeta'", "'Banik_ G.R.'", "'Banner_ Lisa R.'", "'Baric_ R. S.'", "'Baric_ Ralph S.'", "'Barker_ E.N.'", "'Barker_ Emily N.'", "'Barlan_ Arlene'", "'Barnard_ Dale L'", "'Barretto_ Naina'", "'Barthold_ S. W.'", "'Bartlam_ Mark'", "'Baseler_ Laura J.'", "'Bastien_ Nathalie'", "'Batool_ Maria'", "'Beaudeau_ F.'", "'Becares_ Martina'", "'Bechill_ John'", "'Becker_ Michelle M.'", "'Behzadi_ Mohammad Amin'", "'Beigel_ John H'", "'Bell_ Diana'", "'Belouzard_ Sandrine'", "'Belsham_ G. J.'", "'Belyavsky_ Michail'", "'Bender_ Susan J.'", "'Benetka_ Viviane'", "'Beniac_ Daniel R'", "'Beniac_ Daniel R.'", "'Bergeron_ Eric'", "'Bergmann_ Cornelia C.'", "'Berkhout_ Ben'", "'Bernard-Stoecklin_ Sibylle'", "'Bernard_ S.'", "'Bernini_ Andrea'", "'Berry_ Jody D'", "'Berry_ Michael'", "'Berryhill_ E.H.'", "'Berto_ A.'", "'Bertram_ Stephanie'", "'Bhadra_ Sanchita'", "'Bhardwaj_ Kanchan'", "'Bhatt_ P. N.'", "'Bhatt_ Pravin N.'", "'Bickerton_ Erica'", "'Bidokhti_ Mehdi R.M.'", "'Bin Saeed_ Abdulaziz A.'", "'Birdwell_ L. Dillon'", "'Bisht_ Himani'", "'Blanchard_ Elisabeth G.'", "'Blanchard_ Emmanuelle'", "'Blanchard_ Jan E.'", "'Bleibtreu_ A.'", "'Bodmer_ Bianca S.'", "'Bok_ M.'", "'Bok_ Marina'", "'Bolles_ Meagan'", "'Bonavia_ Aurelio'", "'Boniotti_ M. Beatrice'", "'Bonny_ Tania S.'", "'Boots_ A.M.H.'", "'Borschensky_ C.M.'", "'Borucki_ Monica K.'", "'Boscarino_ Joseph A.'", "'Bosch_ Berend Jan'", "'Boucher_ Annie'", "'Boursnell_ M.E.G.'", "'Bouvet_ Mickaël'", "'Bouvier_ Monique'", "'Brandão_ P. E.'", "'Brandão_ Paulo E.'", "'Breban_ Romulus'", "'Breslin_ Jamie J'", "'Breslin_ Jamie J.'", "'Bressler_ Adam M.'", "'Brian_ D. A.'", "'Bridger_ Janice C.'", "'Brierley_ Ian'", "'Briese_ Thomas'", "'Brim_ Theresa A.'", "'Brison_ Elodie'", "'Britton_ Paul'", "'Brockmeier_ S.L.'", "'Broer_ Rene'", "'Brown_ Cary G.'", "'Brown_ P. A.'", "'Brown_ Paul A.'", "'Bruning_ A.H.L.'", "'Buchholz_ Ursula J.'", "'Budzilowicz_ Carol J.'", "'Bukreyev_ Alexander'", "'Buonavoglia_ Canio'", "'Burkard_ Christine'", "'Bush_ Robin M'", "'Bussmann_ Bianca M.'", "'Butchi_ Niranjan B.'", "'Butchi_ Niranjan'", "'Butler_ Noah S.'", "'Butler_ Noah'", "'Butt_ Taimur S.'", "'Báez-Santos_ Yahira M.'", "'Báez-Santos_ Yahira\\nM.'", "'Békés_ Miklós'", "'CHARLEY_ B.'", "'CHARLEY_ BERNARD'", "'COX_ E.'", "'Cabeça_ Tatiane K.'", "'Cabirac_ Gary F.'", "'Cai_ Yingyun'", "'Callebaut_ P.'", "'Callendret_ Benoît'", "'Calvo_ Enrique'", "'Cameron_ Mark J.'", "'Campanacci_ Valérie'", "'Cannon_ Martha .J.'", "'Cao_ Jianzhong'", "'Cao_ Ying-Li'", "'Cao_ Zhongzan'", "'Carbajo-Lozoya_ Javier'", "'Cardoso_ T. C.'", "'Casais_ Rosa'", "'Casanova_ Lisa M.'", "'Case_ James Brett'", "'Castaño-Rodriguez_ Carlos'", "'Castells_ Matías'", "'Castro_ Raymond F.'", "'Cauchemez_ Simon'", "'Caul_ E.O.'", "'Cavanagh_ D.'", "'Cavanagh_ Dave'", "'Cavanagh_ David'", "'Cave_ Thomas A.'", "'Caì_ Yíngyún'", "'Cecere_ Thomas E.'", "'Cencic_ Regina'", "'Cereda_ P. M.'", "'Cervantes-Barragan_ Luisa'", "'Cervin_ Marguerite'", "'Cha_ Min Jae'", "'Cha_ Ran-hui'", "'Chae_ Chanhee'", "'Chae_ Jeong-Byoung'", "'Chafekar_ Aasiyah'", "'Chai_ Weidong'", "'Chaloner-Larsson_ Gillian'", "'Chan_ C.M.'", "'Chan_ Chak-Ming'", "'Chan_ Che Man'", "'Chan_ Che-Man'", "'Chan_ Ching-Ping'", "'Chan_ Henry L.Y.'", "'Chan_ Jasper F. W.'", "'Chan_ Jasper F.W.'", "'Chan_ Jasper Fuk-Woo'", "'Chan_ K. H.'", "'Chan_ Kwok H.'", "'Chan_ Kwok-Hung'", "'Chan_ Paul K.S.'", "'Chan_ Renee W Y'", "'Chan_ Renee W. Y.'", "'Chan_ Vera S F'", "'Chan_ Woan-Eng'", "'Chang_ Chung-Ke'", "'Chang_ Chung-ke'", "'Chang_ Hsin-Hou'", "'Chang_ Hui-Ping'", "'Chang_ Hui-Wen'", "'Chang_ Hyuk-Jun'", "'Chang_ Kevin W.'", "'Chang_ Luan-Yin'", "'Channappanavar_ Rudragouda'", "'Charley_ B.'", "'Chatterjee_ Amarnath'", "'Chau_ Tai‐Nin'", "'Che_ Xiao-yan'", "'Chefer_ Svetlana'", "'Chen_ Bo'", "'Chen_ Chun-Jen'", "'Chen_ Chun-Yuan'", "'Chen_ Chung-Jen'", "'Chen_ F'", "'Chen_ Fangzhou'", "'Chen_ Gui-Qian'", "'Chen_ Hongying'", "'Chen_ I-Yin'", "'Chen_ I.-Jung'", "'Chen_ Jun'", "'Chen_ Keyan'", "'Chen_ Li-Rung'", "'Chen_ Liangjun'", "'Chen_ Lili'", "'Chen_ Ling-Ling'", "'Chen_ Qin'", "'Chen_ S.'", "'Chen_ Shih-Cheng'", "'Chen_ Shuai'", "'Chen_ Wei-Ju'", "'Chen_ Xiaojuan'", "'Chen_ Xin'", "'Chen_ Y.‐N.'", "'Chen_ Yaoqing'", "'Chen_ Yi-Ming Arthur'", "'Chen_ Yi-Ning'", "'Chen_ Yixin'", "'Chen_ Yongxiong'", "'Chen_ Yu'", "'Chen_ Yunxin'", "'Chen_ Zeliang'", "'Chen_ Zhe'", "'Chen_ Zhinan'", "'Chen_ Zhiwei'", "'Chen_ Zhongbin'", "'Cheng_ Ao'", "'Cheng_ Jinlong'", "'Cheng_ Kai-Wen'", "'Cheng_ Man'", "'Cheng_ Pei‐Win'", "'Cheng_ Peter KC'", "'Cheng_ Shu-Chun'", "'Cheng_ Vincent C. C.'", "'Cheng_ Weijia'", "'Cheung_ Chung Y.'", "'Chi_ Hang'", "'Chim_ SSC'", "'Chiow_ K.H.'", "'Chiu_ Rossa WK'", "'Chiu_ Susan S.'", "'Cho_ Chao-Cheng'", "'Cho_ Heeyoun'", "'Cho_ K.-O.'", "'Cho_ Sung-il'", "'Choi_ Ilsu'", "'Choi_ Jeong Sil'", "'Choi_ Jeong-Sil'", "'Choi_ Keum S.'", "'Choi_ S.'", "'Choi_ Won Jin'", "'Chou_ Chi-Yuan'", "'Chou_ Kuo-Chen'", "'Chou_ Te-hui W.'", "'Chou_ Ya-Wen'", "'Chow_ Ken Yan Ching'", "'Chow_ Kuan-Chih'", "'Choy_ Wai-Yan'", "'Christian_ Michael D.'", "'Christianson_ K. K.'", "'Chu_ Daniel K. W.'", "'Chu_ Hin'", "'Chu_ Kwok Hong'", "'Chu_ Ling-Hon Matthew'", "'Chu_ Ling‐Hon Matthew'", "'Chu_ Victor C.'", "'Chua_ Ming Ming'", "'Chuck_ Chi-Pang'", "'Chung_ Grace TY'", "'Chung_ Yoon-Seok'", "'Cinatl Jr._ J.'", "'Cinatl_ J'", "'Clark_ M.A.'", "'Clasman_ Jozlyn R.'", "'Clay_ Candice C'", "'Clay_ Candice'", "'Clementz_ Mark A.'", "'Cockrell_ Adam S.'", "'Cohen_ Jennifer R.'", "'Coleman_ Christopher M.'", "'Collins_ A. R.'", "'Collins_ Arlene R.'", "'Cologna_ Raymond'", "'Comar_ Courtney E.'", "'Cong_ Feng'", "'Cong_ Yingying'", "'Coria_ M. F.'", "'Corman_ Victor M.'", "'Corman_ Victor Max'", "'Cornillez-Ty_ Cromwell T.'", "'Correa_ Isabel'", "'Corti_ Davide'", "'Corver_ Jeroen'", "'Costantini_ V.'", "'Costello_ Deirdre A.'", "'Cottam_ Eleanor M'", "'Cotten_ Matthew'", "'Cottingim_ Katie M.'", "'Coughlin_ Melissa M.'", "'Coughlin_ Melissa'", "'Coura_ Fernanda Morcatti'", "'Coutard_ B.'", "'Coutelier_ Jean‐Paul'", "'Cowley_ Timothy J.'", "'Cox_ E.'", "'Cox_ Graham J.'", "'Crameri_ Gary'", "'Crossley_ Beate M.'", "'Crouch_ C.F'", "'Crucière_ C.'", "'Cruz_ Jazmina L. G.'", "'Cubero_ M.J.'", "'Cui_ Jie'", "'Cyr-Coats_ K. St.'", "'Czerny_ C.-P.'", "'DARLING_ N. D.'", "'Daczkowski_ Courtney M.'", "'Dalton_ Kevin'", "'Dandekar_ Ajai A.'", "'Danesh_ Ali'", "'Daniel_ Claude'", "'Dare_ Ryan K.'", "'Darnell_ Miriam E. R.'", "'Darnell_ Miriam E.R.'", "'Das Sarma_ Jayasri'", "'David_ Dan'", "'Dawson_ Patrick'", "'De Clercq_ Erik'", "'De Groot_ Raoul J.'", "'De Haan_ Cornelis A. M.'", "'De Martino_ Luisa'", "'DeDiego_ Marta L.'", "'Dea_ S.'", "'Debarnot_ Claire'", "'Decaro_ Nicola'", "'Decroly_ Etienne'", "'Delmas_ Bernard'", "'Deng_ Sheng-Qun'", "'Deng_ Xufang'", "'Deng_ Yao'", "'Denison_ M.'", "'Denison_ Mark R.'", "'Dent_ Stuart'", "'Deregt_ Dirk'", "'Descôteaux_ J. -P.'", "'Desforges_ Marc'", "'Desmarets_ Lowiese M. B.'", "'Devaraj_ Santhana G.'", "'Devictor_ D.'", "'Dickey_ Laura L.'", "'Diemer_ Claudia'", "'Dijkman_ Ronald'", "'Ding_ Li'", "'Ding_ Yanqing'", "'Do Carmo_ Sonia'", "'Dominguez_ Samuel R.'", "'Donaldson_ Eric F.'", "'Dong_ B. Q.'", "'Dong_ Hui'", "'Dong_ Shanghong'", "'Dosch_ Susan F.'", "'Doughri_ A. M.'", "'Doughri_ A.M.'", "'Dove_ Brian K.'", "'Dove_ Brian'", "'Dowell_ Scott F.'", "'Drexler_ Jan Felix'", "'Drosten_ Christian'", "'Du_ Lanying'", "'Du_ Qishi'", "'Duarte_ A.'", "'Ducatelle_ R.'", "'Ducatez_ Mariette F.'", "'Dufour_ David'", "'Duquerroy_ Stéphane'", "'Durai_ Prasannavenkatesh'", "'Durães-Carvalho_ Ricardo'", "'Dyall_ Julie'", "'Dye_ Charlotte'", "'Dörries_ R.'", "'Earnest_ James T.'", "'East_ Marion L'", "'Ebihara_ Takashi'", "'Eckerle_ Isabella'", "'Edwards_ Julie A'", "'Eggers_ Maren'", "'Egloff_ Marie-Pierre'", "'Ehmann_ Rosina'", "'Ehrengut_ W.'", "'Eichenberger_ Emily M.'", "'Eickmann_ Markus'", "'Eifan_ Saleh A.'", "'El-Duah_ Philip'", "'El-Ghorr_ A. A.'", "'El-Ghorr_ A.A.'", "'Elia_ Gabriella'", "'Elliott_ Ruth'", "'Elrggal_ Mahmoud E.'", "'Elshabrawy_ Hatem A.'", "'Emery_ Shannon L.'", "'Emmott_ Edward'", "'Enjuanes_ L.'", "'Enjuanes_ Luis'", "'Eriksson_ Klara K.'", "'Erles_ K.'", "'Erles_ Kerstin'", "'Ernandes_ Maria A'", "'Escors_ David'", "'Escriou_ Nicolas'", "'Esper_ Frank'", "'Esposito_ Susanna'", "'Essa_ Sahar'", "'Evans_ Martin R.'", "'Evermann_ James F.'", "'Faber_ Milosz'", "'Falsey_ Ann R.'", "'Falzarano_ Darryl'", "'Fan_ Hui'", "'Fan_ Keqiang'", "'Fan_ Wensheng'", "'Fang_ Shou Guo'", "'Fang_ Shouguo'", "'Fang_ Yi-Ting'", "'Farcas_ Gabriella A.'", "'Farsani_ Seyed Mohammad Jazaeri'", "'Favreau_ Dominique J.'", "'Fazzini_ Enrico'", "'Fehr_ Anthony R.'", "'Felten_ Sandra'", "'Ferron_ François'", "'Fett_ Craig'", "'Fielding_ Burtram C'", "'Fielding_ Burtram C.'", "'Fielding_ C.L.'", "'Fisher_ Dale'", "'Fleming_ J.O.'", "'Flory_ Egbert'", "'Foley_ Janet E.'", "'Follis_ Kathryn E.'", "'Folz_ Rodney J.'", "'Forni_ Diego'", "'Fouchier_ Ron A. M.'", "'Freeman_ Megan Culler'", "'Freund_ Natalia T.'", "'Freundt_ Eric C.'", "'Freymuth_ François'", "'Friedman_ Nehemya'", "'Frieman_ Matthew'", "'Fukushi_ Masaya'", "'Fukushi_ Shuetsu'", "'Fung_ To S.'", "'Fung_ To Sing'", "'Funk_ C. Joel'", "'Furuse_ Yuki'", "'Furuya_ Tetsuya'", "'GE_ JINYING'", "'Gadlage_ Mark J.'", "'Gagneur_ A.'", "'Gagneur_ Arnaud'", "'Galasiti Kankanamalage_ Anushka C.'", "'Gallagher_ Thomas M.'", "'Gallagher_ Tom'", "'Galán_ Carmen'", "'Gan_ Yi-Ru'", "'Gao_ Feng-Shan'", "'Gao_ Hong-Qiang'", "'Gao_ Jing'", "'Gao_ Wentao'", "'Garbati_ Musa A.'", "'Garbino_ Jorge'", "'Gardner_ Lauren M'", "'Gassen_ Nils C.'", "'Ge_ Feng'", "'Ge_ Xing-Yi'", "'Gebauer_ Fátima'", "'Gelain_ Maria E.'", "'Geng_ HeYuan'", "'Geng_ Heyuan'", "'Geng_ Hua'", "'Genova_ Suzanne G.'", "'Gerna_ Giuseppe'", "'Ghosh_ Arun K.'", "'Gibbs_ A. J.'", "'Gierer_ Stefanie'", "'Gillim-Ross_ Laura'", "'Giménez_ Luis G.'", "'Giordano_ A.'", "'Giordano_ Alessia'", "'Giroglou_ Tsanan'", "'Glass_ William G'", "'Glass_ William G.'", "'Glende_ Joerg'", "'Glowacka_ Ilona'", "'Gnirs_ K.'", "'Go_ Yun Young'", "'Godet_ Murielle'", "'Goebel_ Scott J.'", "'Golda_ Anna'", "'Goldsmith_ Cynthia S.'", "'Goldstein_ Stephen A.'", "'Goller_ Katja V.'", "'Gomaa_ M.H.'", "'Gomaa_ Maged H.'", "'Gomes_ D.E.'", "'Gomez_ D.E.'", "'Gong_ Lang'", "'González_ John M.'", "'González_ José M.'", "'Goo_ J.'", "'Gorse_ Geoffrey J.'", "'Gossner_ C.'", "'Gouilh_ Meriadeg Ar'", "'Graham_ Rachel L.'", "'Gralinski_ Lisa E'", "'Gralinski_ Lisa E.'", "'Gramberg_ Thomas'", "'Graziano_ Vito'", "'Greenough_ Thomas C.'", "'Greninger_ Alexander L.'", "'Grossoehme_ Nicholas E.'", "'Grum-Tokars_ Valerie'", "'Grunewald_ Matthew E.'", "'Gruslin_ Edith'", "'Grötzinger_ Carsten'", "'Gu_ Wanjun'", "'Guan_ Bo-Jhih'", "'Guan_ Y'", "'Gubbins_ Michael J.'", "'Guberina_ H.'", "'Guery_ Benoit'", "'Guillén_ Jaime'", "'Gunn_ L.'", "'Guo_ Huichen'", "'Guo_ Xiaojuan'", "'Gupta_ Vandana'", "'Gusho_ Elona'", "'Gustin_ Kortney M.'", "'Gómez_ N.'", "'HELD_ KATHERINE S.'", "'Haagmans_ Bart L'", "'Haagmans_ Bart L.'", "'Habib_ Abdulrahman Mohammed G.'", "'Habibzadeh_ Parham'", "'Hadjinicolaou_ Andreas V.'", "'Hagemeijer_ Marne C.'", "'Haick_ Anoria K.'", "'Haijema_ Bert Jan'", "'Hajer_ I.'", "'Hakawi_ Ahmed'", "'Hakki_ Morgan'", "'Hamming_ I'", "'Hammond_ Robert G.'", "'Han_ Dong P.'", "'Han_ Hui-Ju'", "'Han_ Myung Guk'", "'Han_ Tae Hee'", "'Han_ Yelin'", "'Han_ Zongxi'", "'Hand_ Julie'", "'Hao_ Wei'", "'Hao_ Xin‐yan'", "'Harcourt_ Brian H.'", "'Harcourt_ Jennifer L.'", "'Haring_ Jodie S.'", "'Harrath_ Rafik'", "'Harrison_ Sally M.'", "'Hart_ Brit J.'", "'Hartwig_ Stacey M.'", "'Harvey_ Ruth'", "'Hashem_ Anwar M'", "'Hashemzadeh_ Mohammad Sadegh'", "'Hasoksuz_ Mustafa'", "'Hasony_ Hassan J.'", "'Hatakeyama_ Seisuke'", "'Hattermann_ K.'", "'Have_ P.'", "'Haverkamp_ Ann-Kathrin'", "'Haynes_ Lia M.'", "'He_ Biao'", "'He_ Lei'", "'He_ Ming-Liang'", "'He_ Qigai'", "'He_ Runtao'", "'He_ Yuxian'", "'He_ Zhongping'", "'Heald-Sargent_ Taylor'", "'Hebben_ Matthias'", "'Heckert_ R.A.'", "'Held_ Katherine S.'", "'Hemida_ M. G.'", "'Hemida_ Maged G'", "'Hemida_ Maged G.'", "'Hemida_ Maged Gomaa'", "'Hemmila_ Erin'", "'Hensley_ Lisa E.'", "'Herold_ J.'", "'Herrewegh_ A.A.P.M.'", "'Herzog_ Petra'", "'Heurich_ Adeline'", "'Hick_ PM'", "'Hierholzer_ J.C.'", "'Hierholzer_ John C.'", "'Hindawi_ Salwa I.'", "'Hirano_ N'", "'Hirano_ N.'", "'Hirsch_ Hans H.'", "'Hiscox_ Julian A.'", "'Ho_ Bo-Lin'", "'Ho_ Hsin-Tsung'", "'Ho_ Khek Y.'", "'Ho_ Tin-Yun'", "'Ho_ Yu'", "'Hoda_ Jradi'", "'Hodgson_ Teri'", "'Hofer_ Ursula'", "'Hoffmann_ Marcin'", "'Hofmann_ Heike'", "'Hofmann_ Martin A.'", "'Hofmann_ Martin'", "'Hogan_ Robert J.'", "'Hogue_ Brenda G.'", "'Holmes_ Edward C'", "'Holmes_ Kathryn V.'", "'Holst_ Bodil Ström'", "'Homberger_ F. R.'", "'Hon_ Chung-Chau'", "'Honda-Okubo_ Yoshikazu'", "'Honkavuori_ Kirsi S.'", "'Hora_ A. S.'", "'Hora_ Aline S.'", "'Hornyák_ Ákos'", "'Horsburgh_ Brian C.'", "'Hoshino_ Y.'", "'Hosking_ Martin P.'", "'Hoskins_ Johnny D.'", "'Hou_ Yu-xuan'", "'Houng_ Huo-Shu H'", "'Hourfar_ Michael K.'", "'Houser_ Katherine V.'", "'Hovi_ Tapani'", "'Howard_ Megan W.'", "'Hsieh_ Li-En'", "'Hsieh_ Pei-Wen'", "'Hsieh_ Ping-Kun'", "'Hsieh_ Yi-Ching'", "'Hsieh_ Ying-Hen'", "'Hsin_ Wei-Chen'", "'Hsu_ Chun-Hua'", "'Hsueh_ P.-R.'", "'Hu_ Ben'", "'Hu_ Che-Ming Jack'", "'Hu_ Dan'", "'Hu_ Hui'", "'Hu_ Qin'", "'Hu_ Tiancen'", "'Hu_ Yong'", "'Hua_ Xiaoyang'", "'Huang_ Canping'", "'Huang_ Cheng'", "'Huang_ Chun-Yu'", "'Huang_ I-Chueh'", "'Huang_ Jason C.'", "'Huang_ Su-Hua'", "'Huang_ Xingchuan'", "'Huang_ Yi'", "'Huang_ Yue'", "'Hughes_ Austin L.'", "'Huh_ Hee Jae'", "'Hui_ David S'", "'Hui_ David S.'", "'Hui_ Raymond K. H.'", "'Hulswit_ R.J.G.'", "'Hunter_ Jennifer C.'", "'Huo_ Tong'", "'Hurst-Hess_ Kelley R.'", "'Hurst_ Kelley R.'", "'Hussain_ Khalid A.'", "'Hussain_ Snawar'", "'Huynh_ Jeremy'", "'Hwa_ K.-Y.'", "'Hänel_ Karen'", "'Iacono_ Kathryn T.'", "'Ikemori_ Yutaka'", "'Imbert_ Isabelle'", "'Imrich_ H.'", "'Inaba_ Y.'", "'Inberg_ Alex'", "'Ingallinella_ Paolo'", "'Inn_ Kyung-Soo'", "'Inoue_ Yuuki'", "'Ip_ Margaret'", "'Ireland_ Derek D. C.'", "'Irigoyen_ Nerea'", "'Isakbaeva_ Elmira T.'", "'Ishii_ Koji'", "'Ishimaru_ Daniella'", "'Islam_ Ariful'", "'Ito_ Naoto'", "'Ivanov_ Konstantin A.'", "'Iwata-Yoshikawa_ Naoko'", "'Izzo_ MM'", "'JEONG_ J.'", "'JEONG_ YONG SEOK'", "'Jackwood_ Mark W.'", "'Jacobs_ Jon'", "'Jacomy_ Hélène'", "'Jacques_ Alexandre'", "'Jaimes_ Javier A.'", "'Jang_ Kyoung Jin'", "'Jang_ Won Mo'", "'Janice Oh_ Hsueh-Ling'", "'Jansson_ Anna M.'", "'Jaume_ Martial'", "'Jayaram_ Hariharan'", "'Jeffers_ Scott A.'", "'Jenwitheesuk_ Ekachai'", "'Jeon_ Min Huok'", "'Jeong_ Jae-Ho'", "'Jeoung_ Seok-Young'", "'Jevšnik_ Monika'", "'Jia_ Hong Peng'", "'Jia_ Zhihui'", "'Jiaming_ Lan'", "'Jiang_ Shibo'", "'Jiang_ Shih Sheng'", "'Jiang_ Xinpeng'", "'Jimenez-Guardeño_ Jose M.'", "'Jin_ L.'", "'Jin_ Xu'", "'Jin_ Ying-Hui'", "'Johnson_ Margaret A.'", "'Jonassen_ Christine Monceyron'", "'Jordan_ Craig A.'", "'Joseph_ Jeremiah S.'", "'Josset_ Laurence'", "'Jourdan_ N.'", "'Jouvenne_ Patricia'", "'Juang_ Jyh-Lyh'", "'Jung_ Kwonil'", "'Jung_ Seo-Yeon'", "'KANNO_ Toru'", "'KAYE_ H. S.'", "'KIN_ Nathalie'", "'KISS_ I.'", "'KOGA_ M.'", "'KOTTIER_ SANNEKE A.'", "'KRISHNAN_ RAJESH'", "'Kalicharran_ Kishna'", "'Kam_ Yiu-Wing'", "'Kamitani_ Wataru'", "'Kan_ Biao'", "'Kandeil_ Ahmed'", "'Kang_ Chang Kyung'", "'Kang_ Hyojeung'", "'Kang_ Xiaoping'", "'Kanjanahaluethai_ Amornrat'", "'Kanwar_ Anubhav'", "'Kanzawa_ Noriyuki'", "'Kao_ Richard Y.'", "'Kapadia_ Sagar U.'", "'Kapil_ Sanjay'", "'Kapke_ Paul A.'", "'Kapoor_ Minal'", "'Kasem_ Samy'", "'Kashiwazaki_ Hiromi'", "'Kawase_ Miyuki'", "'Kaye_ Harold S.'", "'Kaye_ Matthew'", "'Ke_ Min'", "'Ke_ Ting-Yung'", "'Keck_ James G.'", "'Keightley_ Maria Cristina'", "'Keil_ Shawn D.'", "'Keng_ Choong-Tat'", "'Kennedy_ Melissa'", "'Kern_ P.'", "'Keum_ Young-Sam'", "'Keyaerts_ Els'", "'Khan_ Gulfaraz'", "'Khan_ Raymond M.'", "'Khan_ Sehaam'", "'Kharma_ Mohamed Yasser'", "'Khattari_ Z.'", "'Khuri-Bulos_ N.'", "'Kidd_ A. H.'", "'Kilianski_ Andy'", "'Killerby_ Marie E.'", "'Kim_ C.-J.'", "'Kim_ Dong Eon'", "'Kim_ Dong-Hyun'", "'Kim_ Eu Suk'", "'Kim_ Eun'", "'Kim_ J. H.'", "'Kim_ James C.'", "'Kim_ Jeong-Min'", "'Kim_ Jin Il'", "'Kim_ Jin Yong'", "'Kim_ K.H.'", "'Kim_ Kyu Yeun'", "'Kim_ L.'", "'Kim_ Mi Kyoung'", "'Kim_ Mi-Na'", "'Kim_ Myung Hee'", "'Kim_ Ock-Joo'", "'Kim_ Seung Woo'", "'Kim_ So Yeon'", "'Kim_ Sung-Han'", "'Kim_ Tae Woo'", "'Kim_ Taeg S.'", "'Kim_ Yeon-Sook'", "'Kim_ Yoonji'", "'Kim_ You-Jin'", "'Kim_ Young-Nam'", "'Kim_ Young-Seok'", "'Kim_ Yujeong'", "'Kim_ Yunhwan'", "'Kim_ Yunjeong'", "'Kim_ Yuri'", "'Kindler_ Eveline'", "'Kindrachuk_ Jason'", "'King_ Bernadette'", "'Kint_ Joeri'", "'Kipar_ A'", "'Kipar_ A.'", "'Kipar_ Anja'", "'Kirchdoerfer_ Robert N.'", "'Kistler_ Amy'", "'Kiyuka_ Patience K'", "'Klein_ Daniela'", "'Kleine-Weber_ Hannah'", "'Knoops_ Kèvin'", "'Knudsen_ T. B.'", "'Ko_ Chin-Koo'", "'Ko_ Jae-Hoon'", "'Kobinger_ Gary P.'", "'Koch_ Benjamin'", "'Koetz_ A.'", "'Koetzner_ Cheri A.'", "'Kogaki_ Hiroyuki'", "'Komurasaki_ Yusuke'", "'Kong_ Qingming'", "'Kono_ Masakazu'", "'Kooijman_ L.J.'", "'Kooraki_ Soheil'", "'Kopecky-Bromberg_ Sarah A.'", "'Kossyvakis_ Athanasios'", "'Krempl_ Christine'", "'Krueger_ Dawn K.'", "'Krueger_ W. S.'", "'Kruse_ Robert L.'", "'Krähling_ Verena'", "'Kuang_ Wan-Fen'", "'Kuba_ Keiji'", "'Kuhn_ J. H.'", "'Kuiken_ Thijs'", "'Kumaki_ Yohichi'", "'Kumar_ Mia'", "'Kumar_ Purnima'", "'Kumar_ Vathan'", "'Kummrow_ Maya'", "'Kunita_ Satoshi'", "'Kuo_ Chih-Jung'", "'Kuo_ Lili'", "'Kuri_ Thomas'", "'Kusov_ Yuri'", "'Kusters_ J.G.'", "'Kyuwa_ Shigeru'", "'Künkel_ F.'", "'Künkel_ Frank'", "'LAU_ Arthur Chun‐Wing'", "'LAVI_ EHUD'", "'LIN_ Ying'", "'LUYTJES_ WILLEM'", "'La Monica_ Nicola'", "'Laconi_ Andrea'", "'Lai_ Chia-Wei'", "'Lai_ Chien‐Chen'", "'Lai_ Chih-Cheng'", "'Lai_ Frances W.'", "'Lai_ Mary Y. Y.'", "'Lai_ Michael M. C.'", "'Lai_ Szu-Chia'", "'Lamarre_ Alain'", "'Lamarre_ Neil S.'", "'Lamers_ Mart M.'", "'Lamirande_ Elaine W.'", "'Lan_ Jiaming'", "'Lan_ Yu-Ching'", "'Lane_ Thomas E.'", "'Langereis_ Martijn A.'", "'Lanza_ I.'", "'Lapps_ W.'", "'Lapps_ William'", "'Lassnig_ Caroline'", "'Lau_ Kwok-Kwong'", "'Lau_ Lok Ting'", "'Lau_ Susanna K P'", "'Lau_ Susanna K. P.'", "'Lau_ Susanna K.P.'", "'Lavi_ Ehud'", "'Law_ Anna H. Y.'", "'Law_ Helen K. W.'", "'Law_ Helen KW'", "'Law_ Pui Ying Peggy'", "'Le_ Tra M.'", "'Leclercq_ India'", "'Lednicky_ John A'", "'Lee_ C.-W.'", "'Lee_ Chaewoon'", "'Lee_ Han-Jung'", "'Lee_ Hyukmin'", "'Lee_ Hyun'", "'Lee_ Hyun-Kyoung'", "'Lee_ Jong-Soo'", "'Lee_ Mi-Kyung'", "'Lee_ N.'", "'Lee_ Na-Ra'", "'Lee_ Nelson'", "'Lee_ Sang-il'", "'Lee_ Sanghee'", "'Lee_ Shui Shan'", "'Lee_ Ting-Wai'", "'Lee_ Wan‐Ji'", "'Lehmann_ Kathleen C.'", "'Lei_ Jian'", "'Leibowitz_ Julian L.'", "'Leist_ Sarah R.'", "'Lemmermeyer_ Tanja'", "'Leong_ W.F.'", "'Leparc-Goffart_ Isabelle'", "'Lescano_ J.'", "'Lessler_ Justin'", "'Leth-Larsen_ Rikke'", "'Leung_ D. T. M.'", "'Leung_ Ting Fan'", "'Leung_ Wai K'", "'Li_ B.X.'", "'Li_ Bao-jian'", "'Li_ Chunmei'", "'Li_ Cui-Cui'", "'Li_ D.'", "'Li_ Fang'", "'Li_ Frank Q.'", "'Li_ Frank Qisheng'", "'Li_ Gui-Mei'", "'Li_ Jianfeng'", "'Li_ Jie'", "'Li_ Kai'", "'Li_ Kun'", "'Li_ Lanjuan'", "'Li_ Liang'", "'Li_ Lichun'", "'Li_ Qihan'", "'Li_ Shi-you'", "'Li_ Shih-Wein'", "'Li_ Shih-Wen'", "'Li_ Shih‐Wen'", "'Li_ Taisheng'", "'Li_ Tian-Cheng'", "'Li_ Wenhui'", "'Li_ Wentao'", "'Li_ Yan'", "'Li_ Yize'", "'Li_ Yong-Hua'", "'Li_ Yue-Qing'", "'Li_ Yun'", "'Liais_ Etienne'", "'Liang_ Fang-Ying'", "'Liao_ Bo'", "'Liao_ Ching-Len'", "'Liao_ Hsiang-I.'", "'Liao_ Qing-Jiao'", "'Liao_ Wei-Yu'", "'Liao_ Xuelian'", "'Liao_ Y.'", "'Liao_ Ying'", "'Libraty_ Daniel H.'", "'Licitra_ Beth N.'", "'Lim_ Jaegyun'", "'Lim_ K.P.'", "'Lim_ Poh Lian'", "'Lim_ Seong-in'", "'Lin_ Chao-Nan'", "'Lin_ Cheng-Wen'", "'Lin_ Han-Xin'", "'Lin_ Marie'", "'Lin_ Min-Han'", "'Lin_ Shiming'", "'Lin_ Shing-Yen'", "'Lin_ Shu-Yi'", "'Lin_ Tsang L.'", "'Lin_ Tsang Long'", "'Lin_ X. Q.'", "'Lin_ Xiaoqi'", "'Lin_ Xiaoqing'", "'Lin_ Y S'", "'Lindemann_ Dana M.'", "'Lindner_ Holger A.'", "'Ling_ Thai-Yen'", "'Liniger_ Matthias'", "'Lip_ Kuo-Ming'", "'Litster_ A.L.'", "'Liu_ Baoming'", "'Liu_ C.'", "'Liu_ Chang'", "'Liu_ Cheng'", "'Liu_ D. X.'", "'Liu_ D.X.'", "'Liu_ Genmei'", "'Liu_ I-Jung'", "'Liu_ Li'", "'Liu_ Lihong'", "'Liu_ Mo'", "'Liu_ Ping'", "'Liu_ Pinghua'", "'Liu_ Ru-Shi'", "'Liu_ S. W.'", "'Liu_ Shengwang'", "'Liu_ Shuwen'", "'Liu_ Wei'", "'Liu_ Xiaoli'", "'Liu_ Xuan'", "'Liu_ Ye V.'", "'Liu_ Yin'", "'Lo_ Anthony WI'", "'Lo_ Yu-Sheng'", "'Loa_ C. C.'", "'Loa_ C.C'", "'Loa_ C.C.'", "'Lokugamage_ Kumari G.'", "'Lontok_ Erik'", "'Loon_ S-C'", "'Lopez_ Lisa A.'", "'Lorusso_ Alessio'", "'Lorusso_ Eleonora'", "'Lu_ Baojing'", "'Lu_ C.-Y.'", "'Lu_ Guangwen'", "'Lu_ Hongchao'", "'Lu_ Liqun'", "'Lu_ Lu'", "'Lu_ Roujian'", "'Lu_ Shuai'", "'Lu_ Wei'", "'Lu_ Xiaotao'", "'Lu_ Xiaoyan'", "'Lu_ Xinya'", "'Luby_ J.ames P.'", "'Lugari_ Adrien'", "'Lui_ Pak-Yin'", "'Luk_ Hayes K.H.'", "'Luo_ Cheng'", "'Luo_ Chu-Ming'", "'Luo_ Haibin'", "'Luo_ Zongli'", "'Luytjes_ Willem'", "'MCINTOSH_ KENNETH'", "'MINAMI_ Shohei'", "'MYRRHA_ Luciana Wanderley'", "'Ma-Lauer_ Yue'", "'Ma_ Cuiqing'", "'Ma_ Guanggang'", "'Ma_ Guangpeng'", "'Ma_ Ruili'", "'Ma_ Xue-Zhong'", "'Ma_ Yanlin'", "'Ma_ Yanlong'", "'Ma_ Ying'", "'Ma_ Yuanyuan'", "'Maache_ Mimoun'", "'MacNamara_ Katherine C.'", "'Mackay_ Ian M.'", "'Macnaughton_ Malcolm R.'", "'Madhugiri_ R.'", "'Madhugiri_ Ramakanth'", "'Madu_ Ikenna G.'", "'Maeda_ Junko'", "'Mahony_ James B.'", "'Maier_ Helena J.'", "'Majumder_ Maimuna S'", "'Majumder_ Maimuna S.'", "'Makino_ Shinji'", "'Malczyk_ Anna H.'", "'Malik_ Asim'", "'Maltezou_ Helena C.'", "'Manship_ Arlie J.'", "'Marfè_ Gabriella'", "'Marinaro_ Mariarosaria'", "'Mark_ John'", "'Marquez-Jurado_ Silvia'", "'Marro_ Brett S.'", "'Marshall_ J. A.'", "'Martínez_ J.'", "'Martínez_ Nadia'", "'Maru_ M.'", "'Marzi_ Andrea'", "'Maslow_ Joel N.'", "'Massa_ Paul.T.'", "'Masters_ P. S.'", "'Masters_ Paul S.'", "'Mateos-Gomez_ Pedro A.'", "'Mateos-Gómez_ Pedro A.'", "'Mathewson_ Alison C.'", "'Matsuyama_ Shutoku'", "'Matthews_ Krystal L.'", "'Matthews_ Krystal'", "'Mayer_ Karin'", "'Mayr_ Juliane'", "'Mazaleuskaya_ Liudmila'", "'Mazzulli_ Tony'", "'McAuliffe_ Josephine'", "'McBride_ Corrin E.'", "'McBride_ Ruth'", "'McCluskey_ Brian J.'", "'McCray_ Paul B.'", "'McDermott_ Jason E.'", "'McDonagh_ Phillip'", "'McIntosh_ Kenneth'", "'McKinley_ Enid T.'", "'McMillan_ Matthew T.'", "'McNulty_ M.S.'", "'McPherson_ Clifton'", "'Meessen-Pinard_ Mathieu'", "'Meier_ Christoph'", "'Meli_ M'", "'Memish_ Z.A.'", "'Memish_ Ziad A.'", "'Menachery_ Vineet D'", "'Menachery_ Vineet D.'", "'Mendenhall_ Ian H.'", "'Mesel-Lemoine_ Mariana'", "'Meyer_ Benjamin'", "'Michaud_ L.'", "'Michimae_ Yoshiko'", "'Mielech_ Anna M.'", "'Miguel_ Eve'", "'Mihindukulasuriya_ Kathie A.'", "'Miknis_ Zachary J.'", "'Milano_ Filippo'", "'Milewska_ Aleksandra'", "'Millet_ Jean K.'", "'Millet_ Jean Kaoru'", "'Milne-Price_ Shauna'", "'Minakshi_ Rinki'", "'Mingo_ Rebecca M.'", "'Minosse_ C.'", "'Minskaia_ Ekaterina'", "'Miszczak_ Fabien'", "'Mitchell_ Judy A.'", "'Miura_ Hideka S.'", "'Miura_ Tanya A.'", "'Miyoshi-Akiyama_ Tohru'", "'Mizutani_ Tetsuya'", "'Mizzen_ Lee'", "'Mo_ Mei-Lan'", "'Mo_ Meilan'", "'Mobaraki_ Kazhal'", "'Mobley_ James'", "'Mohamed_ Deqa H.'", "'Mohandas_ Devaki V.'", "'Mohd_ Hamzah A.'", "'Molenkamp_ Richard'", "'Mollers_ Madelief'", "'Momattin_ Hisham'", "'Monchatre-Leroy_ Elodie'", "'Monica_ Nicola La'", "'Moon_ Soo-youn'", "'Moore_ Michael J.'", "'Morales_ Lucia'", "'Moreno_ José L.'", "'Morgenstern_ Birgit'", "'Mork_ Ann-Kathrin'", "'Morris_ Vincent L.'", "'Mortola_ Eduardo'", "'Moshynskyy_ Igor'", "'Mossel_ Eric C.'", "'Mou_ Huihui'", "'Mounir_ Samir'", "'Moutinho Costa_ Erika'", "'Moës_ Elien'", "'Mubarak_ Ayman'", "'Muhairi_ Salama Al'", "'Mullis_ Lisa'", "'Munyua_ Peninah'", "'Muradrasoli_ Shaman'", "'Muraduzzaman_ A. K. M.'", "'Muramatsu_ Tomonari'", "'Murray_ Ronald S.'", "'Mustafa_ Sabeena'", "'Muth_ Doreen'", "'Muthumani_ Karuppiah'", "'Myint_ S.'", "'Myrmel_ Mette'", "'Myrrha_ Luciana Wanderley'", "'MÉNDEZ_ ANA'", "'Müller_ Christin'", "'Müller_ Marcel A'", "'Müller_ Marcel A.'", "'NAYLOR_ MJ'", "'NEMOTO_ Manabu'", "'Nagata_ Noriyo'", "'Nakagaki_ Keiko'", "'Nakagawa_ Keisuke'", "'Nakauchi_ Mina'", "'Narayanan_ Krishna'", "'Naskalska_ Antonina'", "'Navas-Martin_ Sonia'", "'Navas-Martín_ Sonia'", "'Navas_ Sonia'", "'Naylor_ Matthew J.'", "'Nazer_ Rakan I.'", "'Nelson_ Christopher A.'", "'Nemoto_ Manabu'", "'Netland_ Jason'", "'Neuman_ B.W.'", "'Neuman_ Benjamin W.'", "'Ng_ Dianna L.'", "'Ng_ Enders K O'", "'Ng_ Lisa F. P.'", "'Ng_ Lisa F.P.'", "'Ng_ Lisa FP'", "'Ng_ M.L.'", "'Ng_ Oi-Wing'", "'Nguyen_ Thi Thanh Hanh'", "'Niederwerder_ M. C.'", "'Niemann_ H.'", "'Niemeyer_ Daniela'", "'Niesters_ H.G.M.'", "'Nieto-Torres_ Jose L.'", "'Nishiura_ Hiroshi'", "'Niskanen_ R.'", "'Nitsche_ Andreas'", "'Niu_ Peihua'", "'Nogales_ Aitor'", "'Nokso‐Koivisto_ Johanna'", "'Nomura_ Ryuji'", "'Noorwali_ AbdulSalam A.'", "'Ntafis_ V.'", "'Ntafis_ Vasileios'", "'Nur_ Suza Mohammad'", "'Nuttall_ P. A.'", "'Nyon_ Mun Peak'", "'Näslund_ K.'", "'Obameso_ Joseph O.'", "'Obitsu_ Saemi'", "'Ogimi_ Chikara'", "'Oh_ Hsueh-Ling Janice'", "'Oh_ Myoung-don'", "'Ohnishi_ Kazuo'", "'Ohno_ Satoshi'", "'Ohnuma_ Kei'", "'Okabayashi_ Tamaki'", "'Okba_ Nisreen M.A.'", "'Okba_ Nisreen MA'", "'Oma_ Veslemøy Sunniva'", "'Ommeh_ Sheila'", "'Omrani_ A.S.'", "'Omrani_ Ali S'", "'Omrani_ Ali S.'", "'Ontiveros_ Evelena'", "'Oong_ Xiang Yong'", "'Oostra_ M.'", "'Oostra_ Monique'", "'Orenstein_ Jan M.'", "'Ortego_ Javier'", "'Osumi_ Takafumi'", "'Oudit_ G. Y.'", "'Oudshoorn_ Diede'", "'Oue_ Yasuhiro'", "'Owczarek_ Katarzyna'", "'Ozdarendeli_ Aykut'", "'O’TOOLE_ D.'", "'Pacciarini_ Filippo'", "'Pachuk_ Catherine J.'", "'Paden_ C. R.'", "'Page_ Carly'", "'Page_ Kevin W.'", "'Pak_ John E.'", "'Paltrinieri_ Saverio'", "'Papineau_ Amber'", "'Park_ Donghyun'", "'Park_ Ga Eun'", "'Park_ Hye Ri'", "'Park_ Ji-Young'", "'Park_ Jung-Eun'", "'Park_ S. J.'", "'Park_ Wan Beom'", "'Parker_ J. C.'", "'Parker_ Monica M.'", "'Parra_ Beatriz'", "'Parthasarathy_ Krupakar'", "'Patel_ Anita'", "'Patel_ J. R.'", "'Paton_ D.J.'", "'Paton_ David'", "'Pavli_ Androula'", "'Payne_ Claire M.'", "'Payne_ Daniel C'", "'Payne_ Daniel C.'", "'Payne_ H. R.'", "'Pearson_ Morgan'", "'Peck_ Kayla M.'", "'Pedersen_ N.C'", "'Pedersen_ Niels C.'", "'Pei_ Huadong'", "'Peiris_ J. S. Malik'", "'Peiris_ J.S. Malik'", "'Peiris_ JSM'", "'Pene_ Frédéric'", "'Peng_ Guiqing'", "'Peng_ Hui'", "'Peng_ Tsui‐Yi'", "'Peng_ Yu-Hui'", "'Pensaert_ M. B.'", "'Penzes_ Z.'", "'Percy_ D. H.'", "'Perez-Shibayama_ Christian'", "'Perez_ Andres M.'", "'Perlman_ Stanley'", "'Pervushin_ Konstantin'", "'Peters_ Hannah L.'", "'Peti_ Wolfgang'", "'Petit_ Chad M.'", "'Pewe_ Lecia'", "'Pfefferle_ Susanne'", "'Phan_ Tung'", "'Phares_ Timothy W.'", "'Phillips_ J. E.'", "'Phillips_ Joanna J.'", "'Phillips_ Judith M.'", "'Phillpotts_ R.J.'", "'Pickel_ K.'", "'Pickett_ Brett E.'", "'Pinna_ D.'", "'Pinto_ Luciane D.'", "'Piotrowski_ Yvonne'", "'Piñana_ José Luis'", "'Piñón_ Josefina D.'", "'Plaisted_ Warren C.'", "'Plant_ Ewan P'", "'Plant_ Ewan P.'", "'Plipat_ Tanarak'", "'Poccia_ Fabrizio'", "'Poh_ W.P.'", "'Pohl-Koppe_ A.'", "'Ponnusamy_ Rajesh'", "'Poon_ L. L. M.'", "'Poon_ Leo L M'", "'Poon_ Leo L.M'", "'Poon_ Leo L.M.'", "'Popova_ Rada'", "'Poppe_ Michael'", "'Porter_ Emily'", "'Pratelli_ A'", "'Pratelli_ A.'", "'Pratelli_ Annamaria'", "'Prentice_ Erik'", "'Priestnall_ Simon L.'", "'Prill_ Mila M.'", "'Principi_ Nicola'", "'Promkuntod_ N.'", "'Promkuntod_ Naruepol'", "'Pulford_ David J.'", "'Pusterla_ N.'", "'Putics_ Ákos'", "'Pyrc_ Krzysztof'", "'Qian_ Zhaohui'", "'Qin_ Chuan'", "'Qin_ Zhao-ling'", "'Qinfen_ Zhang'", "'Qiu_ Hongjie'", "'Qiu_ Maofeng'", "'Qiu_ Xiang'", "'Qiu_ Zhaozhu'", "'Qu_ Di'", "'Quan_ Phenix-Lan'", "'Quiroga_ Maria A.'", "'Raabe_ T.'", "'Raaben_ Matthijs'", "'Rabenau_ H. F.'", "'Rabouw_ Huib H.'", "'Raj_ V Stalin'", "'Raj_ V. Stalin'", "'Ramajayam_ R.'", "'Raman_ Sharmila'", "'Ramshaw_ Rebecca E.'", "'Rani_ Mridula'", "'Rasmussen_ Sonja A.'", "'Rasschaert_ Denis'", "'Ratia_ Kiira'", "'Razuri_ Hugo'", "'Reed_ Mark L.'", "'Reed_ Sylvia E.'", "'Regan_ Andrew D.'", "'Reguera_ Juan'", "'Reina_ J.'", "'Rekik_ M. R.'", "'Ren_ L. L.'", "'Ren_ Lili'", "'Ren_ Shi-Yan'", "'Ren_ Wuze'", "'Ren_ Xiaofeng'", "'Renukaradhya_ Gourapura J.'", "'Renzi_ Fabiana'", "'Rest_ Joshua S'", "'Reusken_ Chantal B.E.M.'", "'Reusken_ Chantal BEM'", "'Ricagno_ Stefano'", "'Ricagno_ Stéfano'", "'Ricard_ Cynthia S.'", "'Rimmelzwaan_ G.F.'", "'Riski_ Hellevi'", "'Rivers_ Caitlin M.'", "'Rizzo_ Francesca'", "'Robbins_ Susan G.'", "'Roberts_ Anjeanette'", "'Rockx_ Barry'", "'Rodon_ Jordi'", "'Rose_ Kristine M.'", "'Rossen_ J.W.A.'", "'Rossignol_ Jean-François'", "'Roth-Cross_ Jessica K.'", "'Rottier_ Peter J. M.'", "'Rowland_ Raymond R. R.'", "'Ruan_ Yijun'", "'Rubio_ Elisa'", "'Ruch_ Travis R.'", "'Ruggieri_ A.'", "'Ryu_ Sukhyun'", "'S. Banach_ Bridget'", "'SATIJA_ NAMITA'", "'SHI_ Yi'", "'SOMA_ Takehisa'", "'STODDART_ C.A.'", "'SUN_ NING'", "'Saad_ Mustafa'", "'Sadasivan_ Jibin'", "'Safi_ Nikoo'", "'Saif_ L.J.'", "'Saif_ Linda J.'", "'Saijo_ Masayuki'", "'Saikatendu_ Kumar Singh'", "'Sainz_ Bruno'", "'Sakaguchi_ Alan Y.'", "'Sakai_ Yusuke'", "'Sampath_ Rangarajan'", "'Sanchez-Morgado_ Jose M'", "'Sanz_ Macarena G.'", "'Sato_ K.'", "'Savarin_ Carine'", "'Sawicki_ S. G.'", "'Sawicki_ Stanley G'", "'Sayaka_ Takase-Yoden'", "'Schaecher_ Scott R.'", "'Schaefer_ Emily'", "'Schelle_ Barbara'", "'Scheuplein_ Vivian A.'", "'Schickli_ Jeanne H.'", "'Schildgen_ Oliver'", "'Schiller_ Jennifer J.'", "'Schnagl_ R. D.'", "'Schneider_ Martha'", "'Schochetman_ Gerald'", "'Schoeman_ Dewald'", "'Schreiber_ Steven S.'", "'Schultze_ Beate'", "'Schulze_ Kai'", "'Schwarz_ Silvia'", "'Schwegmann-Wessels_ Christel'", "'Schwegmann-Weßels_ Christel'", "'Schwegmann_ Christel'", "'Schäfer_ Alexandra'", "'Scobey_ Trevor'", "'Seddiq_ Nahed'", "'Seltmann_ Anne'", "'Senanayake_ Savithra D.'", "'Seong_ Moon-Woo'", "'Serrano_ Pedro'", "'Sevajol_ Marion'", "'Severance_ Emily G.'", "'Sexton_ Nicole R.'", "'Seys_ Leen J M'", "'Sha_ Jianping'", "'Shahkarami_ Mahtab'", "'Shahwan_ Katarina'", "'Shan_ Yu-Fei'", "'Shang_ Bo'", "'Shang_ Jian'", "'Shapiro_ Michael'", "'Sharif_ Saeed'", "'Sharmin_ Refat'", "'Sheahan_ Timothy'", "'Shehata_ Mahmoud M.'", "'Sheikh_ Abdullah'", "'Shen_ Hongyuan'", "'Shen_ Li Wen'", "'Shen_ Liang'", "'Shen_ S'", "'Shen_ Shuo'", "'Shen_ Xiaolan'", "'Shen_ Zu T.'", "'Sherbini_ Nahid'", "'Shi_ Chong-Shan'", "'Shi_ Jiahai'", "'Shi_ S. T.'", "'Shi_ Yulin'", "'Shi_ Yuling'", "'Shi_ Zhengli'", "'Shiba_ Nozomi'", "'Shichijo_ S.'", "'Shieh_ Chien-Kou'", "'Shieh_ Wun-Ju'", "'Shien_ Jui-Hung'", "'Shih_ Yi-Ping'", "'Shimizu_ Chisato'", "'Shin_ Gu-Choul'", "'Shin_ Hyoung-Shik'", "'Shin_ Jin Soo'", "'Shirato_ Kazuya'", "'Shukla_ Aditi'", "'Shulla_ Ana'", "'Shum_ Ka To'", "'Sigurðardóttir_ Ó.G.'", "'Sikkema_ R. S.'", "'Sikkema_ Reina S.'", "'Simmons_ Graham'", "'Simon_ Arne'", "'Sims_ Amy C.'", "'Sirinarumitr_ Theerapol'", "'Sisk_ Jeanne M.'", "'Siu_ Kam-Leung'", "'Siu_ Y. L.'", "'Skariyachan_ Sinosh'", "'Skinner_ Dominic'", "'Slobodskaya_ Olga'", "'Sloots_ Theo P.'", "'Smales_ F C'", "'Smith_ A. L.'", "'Smith_ Abigail L.'", "'Smith_ C. S.'", "'Smith_ Everett Clinton'", "'Smith_ G. C.'", "'Smits_ Saskia L.'", "'Smuts_ Heidi'", "'Snijder_ E.J.'", "'Snijder_ Eric J.'", "'So_ Ray TY'", "'Sohrabi_ Catrin'", "'Sola_ Isabel'", "'Soma_ Takehisa'", "'Song_ Daesub'", "'Song_ Fei'", "'Song_ Huai-Dong'", "'Song_ Hyun Chul'", "'Song_ Joon Young'", "'Song_ Wenfei'", "'Song_ Yeong-jun'", "'Song_ Zhenhui'", "'Soonnarong_ Rapeepun'", "'Spanakis_ Nikolaos'", "'Spencer_ Kelly-Anne'", "'Sperry_ Steven M.'", "'Spiegel_ Martin'", "'Spiga_ Ottavia'", "'Spruth_ Martin'", "'St-Jean_ Julien R.'", "'St. John_ Sarah E.'", "'Stavisky_ Jenny'", "'Stavrinides_ John'", "'Stertz_ Silke'", "'Stewart_ Janet N.'", "'Stiles_ Linda N.'", "'Stirling_ Bridget V'", "'Stobart_ Christopher C.'", "'Stoddart_ C. A.'", "'Stohlman_ Stephen A.'", "'Storz_ J.'", "'Ströher_ Ute'", "'Sturman_ Lawrence S.'", "'Su_ Dan'", "'Su_ Mei-Chi'", "'Su_ Yu-Pin'", "'Subbarao_ Kanta'", "'Subissi_ Lorenzo'", "'Subramoney_ Kathleen'", "'Subudhi_ Sonu'", "'Sugiyama_ K.'", "'Sui_ Jianhua'", "'Sulaiman_ Irshad M.'", "'Sun_ Haifang'", "'Sun_ Junfeng'", "'Sun_ Lei'", "'Sun_ Li'", "'Sun_ Yaping'", "'Sun_ Ying'", "'Sung_ Heungsup'", "'Supekar_ Vinit M.'", "'Surjit_ Milan'", "'Surya_ Wahyu'", "'Suryaman_ G. K.'", "'Sutton_ Geoff'", "'Sutton_ Troy C.'", "'Suzuki_ Kazuhiko'", "'Suñé_ Carlos'", "'Swayne_ David E.'", "'Szczawinska‐Poplonyk_ Aleksandra'", "'Szczepanski_ Artur'", "'Szelazek_ Bozena'", "'TAKANO_ Tomomi'", "'TERAMICHI_ Takurou'", "'TORRES_ JUAN M.'", "'Taguchi_ Fumihiro'", "'Tahara_ Stanley M.'", "'Tahir Ul Qamar_ M.'", "'Takano_ Tomomi'", "'Takasuka_ Naomi'", "'Takeda_ Mitsuhiro'", "'Takiuchi_ Elisabete'", "'Talbot_ H. Keipp B.'", "'Talbot_ Pierre J.'", "'Tan_ Emily L.C.'", "'Tan_ Jinzhi'", "'Tan_ Kemin'", "'Tan_ Yee-Joo'", "'Tan_ Yee‐Joo'", "'Tan_ Ying-Xim'", "'Tan_ Yong Wah'", "'Tanaka_ Tomohisa'", "'Tanaka_ Yoshikazu'", "'Tang_ Biao'", "'Tang_ Bone S. F.'", "'Tang_ Jian'", "'Tang_ Julian W.'", "'Tang_ Qin'", "'Tang_ Xianchun'", "'Tangudu_ Chandra'", "'Tanner_ Julian A.'", "'Tao_ Xinrong'", "'Taranto_ Alex G.'", "'Tarnovitski_ Natalia'", "'Tay_ Felicia P.L.'", "'Taylor_ Justin K.'", "'Te_ Nigeer'", "'Tekelioglu_ B.K.'", "'Tekes_ Gergely'", "'Temperton_ Nigel J.'", "'Tennant_ B.J.'", "'Teoh_ Kim-Tat'", "'Terada_ Yutaka'", "'Thabet_ Farah'", "'Thackray_ Larissa B'", "'Thackray_ Larissa B.'", "'Thai_ Hong Thi Cam'", "'Thiel_ Volker'", "'Thomas_ Helen Lucy'", "'Thompson_ Robin N.'", "'Thor_ Sharmi W.'", "'Thornbrough_ Joshua M.'", "'Thorp_ Edward B.'", "'Tibbles_ K.W'", "'Timani_ Khalid Amine'", "'Tirotta_ Emanuele'", "'To_ KF'", "'To_ L.T.'", "'Toftaker_ Ingrid'", "'Tomar_ Sakshi'", "'Torres_ Jaume'", "'Tortorici_ M. Alejandra'", "'Toshio_ Kamahora'", "'Totura_ Allison L'", "'Totura_ Allison L.'", "'Traavik_ T.'", "'Traggiai_ Elisabetta'", "'Trandem_ Kathryn'", "'Tripet_ Brian'", "'Tripp_ Ralph A.'", "'Trombetta_ Hygor'", "'Trujillo_ Jonathan A.'", "'Tsai_ Jean C'", "'Tsai_ Jean C.'", "'Tsai_ Tsung-Lin'", "'Tsang_ Owen Tak-Yin'", "'Tsao_ Yeou-Ping'", "'Tse_ G M-K'", "'Tseng_ Chien-Te K.'", "'Tseng_ Chien-Te'", "'Tseng_ Ying-Tzu'", "'Tsuda_ Shumpei'", "'Tsunemitsu_ H.'", "'Tsunetsugu-Yokota_ Yasuko'", "'Tsunetsugu‐Yokota_ Yasuko'", "'Tu_ Changchun'", "'Tuchiya_ Kotaro'", "'Tung_ Frank Y.T.'", "'Turlington_ Mark'", "'Turner_ Brian C.'", "'Turner_ Ronald B.'", "'Tvarogová_ Jana'", "'Tynell_ Janne'", "'Uddin_ S M Iftekhar'", "'Uhlenhaut_ Christine'", "'Ujike_ Makoto'", "'Ulasli_ Mustafa'", "'Uyeki_ Timothy M.'", "'V. J_ Rejish Kumar'", "'Vabret_ A.'", "'Vabret_ Astrid'", "'Vallet_ Sophie'", "'Van Bever_ Hugo P.'", "'Van Reeth_ Kristien'", "'Varshney_ Bhavna'", "'Vasilenko_ Natalia'", "'Vassilara_ Foula'", "'Vazquez_ Leonardo'", "'Vega_ Vinsensius B'", "'Veit_ Svenja'", "'Venkatagopalan_ Pavithra'", "'Venkataraman_ Thiagarajan'", "'Verbeek_ Arnold'", "'Verdiá-Báguena_ Carmina'", "'Vergara-Alert_ Júlia'", "'Vergara‐Alert_ J.'", "'Verheije_ M. H.'", "'Verheije_ Monique H.'", "'Verma_ Sandhya'", "'Verschueren_ Koen H.G.'", "'Versteeg_ Gijs A.'", "'Vicenzi_ Elisa'", "'Vidalain_ Pierre-Olivier'", "'Vieler_ E.'", "'Vijgen_ Leen'", "'Virlogeux_ Victor'", "'Vlasova_ Anastasia N.'", "'Vogel_ Leatrice N.'", "'Vogel_ Liesbeth'", "'Vogels_ Mijke W.'", "'Vogt_ Tara M.'", "'Volz_ Asisa'", "'Voß_ Daniel'", "'V’kovski_ Philip'", "'Wacharapluesadee_ Supaporn'", "'Wada_ Masami'", "'Walls_ Alexandra C.'", "'Walls_ Alexandra'", "'Wang_ Bin'", "'Wang_ Chao'", "'Wang_ F.-I.'", "'Wang_ Fenghua'", "'Wang_ Haofeng'", "'Wang_ Hongliang'", "'Wang_ Huwen'", "'Wang_ Jibin'", "'Wang_ Jing'", "'Wang_ Jingqiang'", "'Wang_ Leyi'", "'Wang_ Lingshu'", "'Wang_ Manli'", "'Wang_ Peigang'", "'Wang_ Qihui'", "'Wang_ Qin'", "'Wang_ Sheng-Fan'", "'Wang_ Shiu-Mei'", "'Wang_ Shixia'", "'Wang_ Shui-Mei'", "'Wang_ Wei'", "'Wang_ Wei-Kung'", "'Wang_ Wen'", "'Wang_ Xiaohua'", "'Wang_ Xiaoxing'", "'Wang_ Xin-Wei'", "'Wang_ Xinyu'", "'Wang_ Yan'", "'Wang_ Yanqun'", "'Wang_ Yi'", "'Wang_ Yicheng'", "'Wang_ Ying'", "'Wang_ Ying-Ting'", "'Wang_ Yue-Dan'", "'Wang_ Zai'", "'Wang_ Zhijun'", "'Warnes_ Sarah L.'", "'Watanabe_ Rie'", "'Watanabe_ Rihito'", "'Watanabe_ Toru'", "'Wathelet_ Marc G.'", "'Watson_ D. W.'", "'Wege_ Helmut'", "'Wei_ Ping'", "'Weingartl_ Hana M.'", "'Weiss_ Susan R.'", "'Weiwei_ Hu'", "'Wentworth_ David E.'", "'Wernery_ Ulrich'", "'Wesley_ Ronald D'", "'Wesley_ Ronald D.'", "'Westerbeck_ Jason W.'", "'Wheeler_ D. Lori'", "'White_ Tiana C.'", "'Whitman_ Lucia'", "'Whitworth_ Kristin M.'", "'Wiboonchutikul_ Surasak'", "'Wicht_ Oliver'", "'Wickramasinghe_ I. N. Ambepitiya'", "'Wickramasinghe_ I.N. Ambepitiya'", "'Widagdo_ W.'", "'Widjaja_ Ivy'", "'Wilder-Smith_ Annelies'", "'Wille_ Michelle'", "'Williams_ F. P.'", "'Wilson_ Greame A.R.'", "'Wilson_ Lauren'", "'Wirblich_ Christoph'", "'Wise_ Annabel G.'", "'Wohlford-Lenane_ Christine L.'", "'Wojdyla_ Justyna A.'", "'Wolff_ Cecilia'", "'Wong_ Christopher W.'", "'Wong_ Hui Hui'", "'Wong_ S.L. Alan'", "'Wong_ Samson S. Y.'", "'Woo_ P. C. Y.'", "'Woo_ Patrick C. Y.'", "'Woo_ Patrick C.Y.'", "'Woo_ Patrick CY'", "'Workman_ Aspen M.'", "'Wrensch_ Florian'", "'Wu_ Aiping'", "'Wu_ Andong'", "'Wu_ Chang-Jer'", "'Wu_ Cheng‐Guo'", "'Wu_ Chia-Hsin'", "'Wu_ Chung-Yi'", "'Wu_ Donglai'", "'Wu_ Fan'", "'Wu_ Guang'", "'Wu_ Ho-Sheng'", "'Wu_ Hung-Yi'", "'Wu_ Kailang'", "'Wu_ Ping-Sheng'", "'Wu_ Shuwen'", "'Wu_ Y. P.'", "'Wu_ Zhiqiang'", "'Wurm_ Torsten'", "'Xia_ Shuai'", "'Xiao_ Chao-ting'", "'Xiao_ Han'", "'Xiao_ Yibei'", "'Xie_ Lixin'", "'Xie_ Qian'", "'Xin_ Chen'", "'Xinguang Chen_ Bin Yu'", "'Xiu_ Leshan'", "'Xu_ Dongping'", "'Xu_ H.Y.'", "'Xu_ Jiuyang'", "'Xu_ Jun'", "'Xu_ Ke'", "'Xu_ Linghui'", "'Xu_ Ting'", "'Xu_ Xiang'", "'Xu_ Yanhui'", "'Xu_ Yuanyuan'", "'Xue_ Shurong'", "'Xue_ Xiaoyu'", "'YAMADA_ YASUKO K.'", "'Yachi_ Akiko'", "'Yam_ W. C.'", "'Yam_ W.C.'", "'Yamada_ Yasuko K'", "'Yamada_ Yoshiyuki'", "'Yamaguchi_ Kenjiro'", "'Yamamoto_ Mizuki'", "'Yamamoto_ Norio'", "'Yamaoka_ Yutaro'", "'Yamashita_ Makiko'", "'Yan_ Bingpeng'", "'Yan_ Huimin'", "'Yan_ Lei'", "'Yan_ Zhe'", "'Yang_ Dong'", "'Yang_ Haitao'", "'Yang_ Jin-Kui'", "'Yang_ Jinhua'", "'Yang_ Li-Tao'", "'Yang_ Litao'", "'Yang_ Nan'", "'Yang_ Ning'", "'Yang_ Xing-Lou'", "'Yang_ Yaling'", "'Yang_ Yang'", "'Yang_ Yao‐Hsu'", "'Yang_ Yu'", "'Yang_ Zhi-Yong'", "'Yang_ Zhi-yong'", "'Yao_ Qianqian'", "'Yao_ Yanfeng'", "'Yao_ Yong Xiu'", "'Yasui_ Fumihiko'", "'Yavarian_ Jila'", "'Ye_ Rong'", "'Ye_ Ye'", "'Yeager_ Curtis L.'", "'Yeh_ Po-Yuan'", "'Yeh_ Shiou-Hwei'", "'Yen_ Yu-Ting'", "'Yeung_ Kap‐Sun'", "'Yeung_ Man-Lung'", "'Yeşilbağ_ K.'", "'Yi_ Christopher E.'", "'Yi_ Ling'", "'Yilla_ Mamadi'", "'Yin_ Tian-Mu Chen'", "'Ying_ Tianlei'", "'Ying_ Wantao'", "'Yip_ Cyril C. Y.'", "'Yip_ Ming Shum'", "'Yoden_ S.'", "'Yokomori_ Kyoko'", "'Yong_ Chean Yeah'", "'Yoo_ Dongwan'", "'Yoon_ Soon Ho'", "'Yoshikawa_ Naoko'", "'Yoshikawa_ Tomoki'", "'You_ Jae-Hwan'", "'Yount_ Boyd'", "'Yu_ Chia-Jung'", "'Yu_ Dongdong'", "'Yu_ Fei'", "'Yu_ Fuxun'", "'Yu_ Guann-Yi'", "'Yu_ Mathilde W. N.'", "'Yu_ Mathilde W.N.'", "'Yu_ Meng'", "'Yu_ Mi-Sun'", "'Yu_ Pin'", "'Yu_ Xiao'", "'Yuan_ Lin'", "'Yuan_ Peng'", "'Yuan_ Q.'", "'Yuan_ Xiaoling'", "'Yue_ Yuan'", "'Yunoki_ M.'", "'Yusof_ Mohammed F.'", "'Yutaka_ Matsubara'", "'Zakhartchouk_ Alexander N.'", "'Zaki_ Ali M.'", "'Zalinger_ Zachary B.'", "'Zappulli_ V.'", "'Zelus_ Bruce D.'", "'Zeng_ Fanya'", "'Zeng_ Lei-Ping'", "'Zeng_ Qinghong'", "'Zeng_ Rong'", "'Zeng_ Yingchun'", "'Zhai_ Junhui'", "'Zhang_ Hong'", "'Zhang_ Jianqiang'", "'Zhang_ Liang'", "'Zhang_ Lianqi'", "'Zhang_ Linqi'", "'Zhang_ Naru'", "'Zhang_ Rong'", "'Zhang_ Ronghua'", "'Zhang_ X. M.'", "'Zhang_ X. W.'", "'Zhang_ X.'", "'Zhang_ Xin'", "'Zhang_ Xinsheng'", "'Zhang_ Xue Wu'", "'Zhang_ Xuming'", "'Zhang_ Xu‐Sheng'", "'Zhang_ Yue'", "'Zhang_ Yueting'", "'Zhao_ Gang'", "'Zhao_ Guangyu'", "'Zhao_ Jin-Cun'", "'Zhao_ Jincun'", "'Zhao_ Ling'", "'Zhao_ Ping'", "'Zhao_ Qi'", "'Zhao_ Shan'", "'Zhao_ Shi'", "'Zhao_ Wenjun'", "'Zhao_ X.'", "'Zhao_ Xuesen'", "'Zheng_ Jian'", "'Zheng_ Jie'", "'Zheng_ Wen-Xin'", "'Zheng_ Yuan'", "'Zhi_ Yan'", "'Zhong_ Nan'", "'Zhong_ Yanxin'", "'Zhou_ Bing'", "'Zhou_ Haixia'", "'Zhou_ Jie'", "'Zhou_ Jun'", "'Zhou_ Lili'", "'Zhou_ Ling'", "'Zhou_ Nan'", "'Zhou_ Peng'", "'Zhou_ Tong'", "'Zhou_ Yanchen'", "'Zhou_ Zhimin'", "'Zhu_ Heng'", "'Zhu_ Jieqing'", "'Zhu_ Lili'", "'Zhu_ Zhongyu'", "'Zhuang_ Qing-Ye'", "'Zicola_ A.'", "'Ziebuhr_ J.'", "'Ziebuhr_ John'", "'Ziegler_ Thedi'", "'Zielecki_ Florian'", "'Zohaib_ Ali'", "'Zoltick_ Philip W.'", "'Zornetzer_ Gregory A.'", "'Zumla_ Alimuddin'", "'Zuwała_ Kaja'", "'Zyoud_ Sa’ed H.'", "'Zúñiga_ Sonia'", "'Züst_ Roland'", "'da Silva Filho_ Luiz Vicente Ribeiro Ferreira'", "'da Silva_ S.E.L.'", "'de Aquino_ Maria Teresa P.'", "'de Groot-Mijnes_ Jolanda D. F.'", "'de Haan_ C. A. M.'", "'de Haan_ Cornelis A. M.'", "'de Haan_ Cornelis A.M'", "'de Haan_ Cornelis A.M.'", "'de Lang_ Anna'", "'de Sousa_ Rita'", "'de Wilde_ Adriaan H.'", "'de Wit_ Emmie'", "'te Velthuis_ Aartjan J. W.'", "'te Velthuis_ Aartjan J.W.'", "'ter Meulen_ Jan'", "'van Beurden_ Steven J.'", "'van Boheemen_ Sander'", "'van Doremalen_ Neeltje'", "'van Hemert_ Martijn J.'", "'van NGUYEN_ Dung'", "'van den Brand_ Judith MA'", "'van den Brink_ Edward N.'", "'van den Worm_ Sjoerd H. E.'", "'van der Hoek_ Lia'", "'van der Meer_ F. J. U. M.'", "'von Brunn_ Albrecht'", "'ÁLVAREZ_ E.'", "'Álvarez_ Enrique'", "'Åkerström_ Sara'"]
Number of names:14708

if DATASET_VERSION == 1:
    cvec_authors = CountVectorizer(analyzer = "word", tokenizer = None, ngram_range=(1,50), min_df=MIN_DF, lowercase = True,strip_accents = "ascii", binary= True,stop_words='english')
    matrix_authors = cvec_authors.fit_transform(documents['authors'])
    tokens = cvec_authors.get_feature_names()
    matrix_authors_pd=pd.DataFrame(data=matrix_authors.toarray(), index=documents.index,columns=tokens)

    vect_authors_tfidf = TfidfVectorizer( tokenizer = None, ngram_range=(1,50), min_df=MIN_DF, lowercase = True,strip_accents = "ascii",stop_words='english')
    matrix_authors_tfidf= vect_authors_tfidf.fit_transform(documents['authors'])
    tokens_authors_tfidf = vect_authors_tfidf.get_feature_names()
    matrix_authors_tfidf_pd=pd.DataFrame(data=matrix_authors_tfidf.toarray(), index=documents.index,columns=tokens_authors_tfidf)

    matrix_authors_pd.shape,matrix_authors_tfidf_pd.shape
    matrix_authors_pd.sum().reset_index().sort_values(0,ascending=False).hist()

if DATASET_VERSION == 1:
    authors_target = matrix_authors_pd.join(documents[["Target"]]).groupby("Target").sum().transpose()
    authors_target.columns = authors_target.columns.astype(str)
    authors_target = authors_target.reset_index()
    authors_target["Total"] = authors_target["low"]+authors_target["high"]
    authors_target["frac"] = authors_target["low"] / authors_target["Total"]
    authors_target.sort_values("Total",ascending=False).head(5)

if DATASET_VERSION == 1:   
    jmena = pd.read_csv("inputs/author_names_info.csv",delimiter = ";")
    jmena["frac"] = jmena["frac"].str.replace(",",".").astype(float) 
    jmena["frac"] = jmena["high"]/jmena["Total"]
    print(jmena.head(50))
    print(jmena[  (jmena["W_E"]!="Arabia") ][["W_E"]].value_counts().reset_index().sort_values("W_E"))

             name                  Nationality Ptobability     W_E  low  high  \
0             lai            EastAsian-Chinese        0,98    Asia   38     6   
1     buonavoglia          Hispanic-Portuguese        0,31  Europe   27     7   
2             joo        EastAsian-South Korea         0,8    Asia   25     8   
3          nicola       European-Italian-Italy        0,58  Europe   26     9   
4            ling            EastAsian-Chinese         NaN    Asia   34    13   
5              ho  EastAsian-Indochina-Vietnam        0,56    Asia   26    11   
6            shen            EastAsian-Chinese         0,9    Asia   26    11   
7             yee            EastAsian-Chinese        0,97    Asia   26    12   
8              su  EastAsian-Indochina-Myanmar        0,45    Asia   28    15   
9            yuan            EastAsian-Chinese        0,68    Asia   35    19   
10           yong            EastAsian-Chinese        0,62    Asia   28    16   
11            min        EastAsian-South Korea        0,49    Asia   25    15   
12           ming            EastAsian-Chinese        0,98    Asia   47    29   
13            hui            EastAsian-Chinese        0,99    Asia   30    20   
14         talbot               Celtic-English        0,72  Europe   21    14   
15        stephen               Celtic-English         0,6  Europe   21    15   
16             wu            EastAsian-Chinese        0,97    Asia   56    41   
17           chun            EastAsian-Chinese        0,98    Asia   23    17   
18    weiss susan              European-French        0,37  Europe   32    24   
19            zhu            EastAsian-Chinese         0,7    Asia   20    15   
20          weiss              European-German        0,83  Europe   33    25   
21         pierre              European-French           1  Europe   21    16   
22            chi  EastAsian-Indochina-Vietnam        0,66    Asia   19    15   
23  makino shinji              EastAsian-Japan        0,43    Asia   20    16   
24         makino              EastAsian-Japan         NaN    Asia   20    16   
25            lin            EastAsian-Chinese        0,97    Asia   56    45   
26            wei            EastAsian-Chinese        0,93    Asia   47    38   
27          chang            EastAsian-Chinese         0,9    Asia   42    34   
28         shinji              EastAsian-Japan        0,81    Asia   21    17   
29           chen            EastAsian-Chinese        0,96    Asia   90    73   
30          zhang            EastAsian-Chinese        0,83    Asia   76    62   
31          maria          Hispanic-Portuguese         0,6  Europe   38    31   
32            kim        EastAsian-South Korea        0,79    Asia   45    37   
33            lee            EastAsian-Chinese         0,4    Asia   42    35   
34           hong  EastAsian-Indochina-Vietnam        0,95    Asia   31    27   
35            yun        EastAsian-South Korea        0,65    Asia   17    15   
36          brian          African-EastAfrican        0,54  Africa   31    28   
37            wen            EastAsian-Chinese        0,85    Asia   21    19   
38            tan            EastAsian-Chinese        0,62    Asia   32    30   
39            han                Muslim-Nubian        0,39  Africa   18    17   
40             lu          Hispanic-Portuguese        0,48  Europe   35    34   
41           ping            EastAsian-Chinese        0,96    Asia   25    25   
42           dong  EastAsian-Indochina-Vietnam        0,97    Asia   22    22   
43           xiao            EastAsian-Chinese        0,71    Asia   20    20   
44           song        EastAsian-South Korea        0,76    Asia   17    17   
45             xu            EastAsian-Chinese        0,61    Asia   28    29   
46             ng            EastAsian-Chinese        0,83    Asia   18    19   
47         holmes               Celtic-English        0,77  Europe   16    17   
48            liu            EastAsian-Chinese        0,97    Asia   89    96   
49        michael               Celtic-English        0,36  Europe   68    74   

    Total      frac  
0      44  0.136364  
1      34  0.205882  
2      33  0.242424  
3      35  0.257143  
4      47  0.276596  
5      37  0.297297  
6      37  0.297297  
7      38  0.315789  
8      43  0.348837  
9      54  0.351852  
10     44  0.363636  
11     40  0.375000  
12     76  0.381579  
13     50  0.400000  
14     35  0.400000  
15     36  0.416667  
16     97  0.422680  
17     40  0.425000  
18     56  0.428571  
19     35  0.428571  
20     58  0.431034  
21     37  0.432432  
22     34  0.441176  
23     36  0.444444  
24     36  0.444444  
25    101  0.445545  
26     85  0.447059  
27     76  0.447368  
28     38  0.447368  
29    163  0.447853  
30    138  0.449275  
31     69  0.449275  
32     82  0.451220  
33     77  0.454545  
34     58  0.465517  
35     32  0.468750  
36     59  0.474576  
37     40  0.475000  
38     62  0.483871  
39     35  0.485714  
40     69  0.492754  
41     50  0.500000  
42     44  0.500000  
43     40  0.500000  
44     34  0.500000  
45     57  0.508772  
46     37  0.513514  
47     33  0.515152  
48    185  0.518919  
49    142  0.521127  
      W_E   0
2  Africa   7
0    Asia  90
1  Europe  68

Plot 1

if DATASET_VERSION == 1:
    fig, ax = plt.subplots(figsize=(7,5))
    num_bins = len(list(set(list(jmena["frac"].values))))
    ax.hist(jmena[jmena.W_E=="Europe"]["frac"], alpha=0.5,color="red",bins=20)
    ax.hist(jmena[jmena.W_E=="Asia"]["frac"], alpha=0.5,bins=20)

    plt.legend(['European names', 'Asia names'],fontsize=12) 
    plt.axvline(jmena[jmena.W_E=="Asia"]["frac"].mean(), color='b', linestyle='dashed')
    plt.text(jmena[jmena.W_E=="Asia"]["frac"].mean(),11,'Mean (Asia): {:.2f}'.format(jmena[jmena.W_E=="Asia"]["frac"].mean()),fontsize=12)
    plt.axvline(jmena[jmena.W_E=="Asia"]["frac"].median(), color='b', linestyle='dashed')
    plt.text(jmena[jmena.W_E=="Asia"]["frac"].median(),10,'Median (Asia): {:.2f}'.format(jmena[jmena.W_E=="Asia"]["frac"].median()),fontsize=12)
    plt.axvline(jmena[jmena.W_E=="Europe"]["frac"].mean(), color='r', linestyle='dashed')
    plt.text(jmena[jmena.W_E=="Europe"]["frac"].mean(),6,'Mean (Europe): {:.2f}'.format(jmena[jmena.W_E=="Europe"]["frac"].mean()),fontsize=12)
    plt.text(jmena[jmena.W_E=="Europe"]["frac"].median(),7,'Median (Europe): {:.2f}'.format(jmena[jmena.W_E=="Europe"]["frac"].median()),fontsize=12)
    plt.axvline(jmena[jmena.W_E=="Europe"]["frac"].median(), color='r', linestyle='dashed')
    ax.set_xlabel('Percentage of highly cited articles for each name',fontsize=13)
    ax.set_ylabel('Number of names',fontsize=12)
    fig.tight_layout()
    plt.show()

Statistical tests:

if DATASET_VERSION == 1:
    from scipy.stats import mannwhitneyu
    x = jmena[jmena.W_E=="Asia"]["frac"]
    y = jmena[jmena.W_E=="Europe"]["frac"]
    U1, p = mannwhitneyu(x, y)
    print(p)

0.00043826475456942805

if DATASET_VERSION == 1:
    from scipy.stats import ttest_ind
    stat, p = ttest_ind(x, y)
    print('stat=%.3f, p=%.3f' % (stat, p))
    if p > 0.05:
        print('Probably the same distribution')
    else:
        print('Probably different distributions')

stat=-3.353, p=0.001
Probably different distributions

Plot 2

if DATASET_VERSION == 1:
    df_1 = matrix_authors_pd.where(matrix_authors_pd.eq(1)).stack().reset_index(level=1)['level_1'].reset_index().join(documents[['OpenCitations']],on="doi",how="left")
    df_2 = pd.merge(jmena[['name',"W_E"]],df_1, left_on='name', right_on='level_1')
    df_2 = df_2[df_2["OpenCitations"]<250]

    num_bins = len(list(set(list(df_2["OpenCitations"].values))))

    fig, ax = plt.subplots(figsize=(7,5))
    ax.hist(df_2[df_2.W_E=="Europe"]["OpenCitations"],alpha=0.5,color="r",bins=30)
    ax.hist(df_2[df_2.W_E=="Asia"]["OpenCitations"], alpha=0.5,bins=30)
    plt.legend(['European names', 'Asia names'],fontsize=12) 
    plt.axvline(df_2[df_2.W_E=="Asia"]["OpenCitations"].mean(), color='b', linestyle='dashed')
    plt.text(df_2[df_2.W_E=="Asia"]["OpenCitations"].mean(),400,'Mean (Asia): {:.2f}'.format(df_2[df_2.W_E=="Asia"]["OpenCitations"].mean()),fontsize=12)
    plt.axvline(df_2[df_2.W_E=="Asia"]["OpenCitations"].median(), color='b', linestyle='dashed')
    plt.text(df_2[df_2.W_E=="Asia"]["OpenCitations"].median(),500,'Median (Asia): {:.2f}'.format(df_2[df_2.W_E=="Asia"]["OpenCitations"].median()),fontsize=12)
    plt.axvline(df_2[df_2.W_E=="Europe"]["OpenCitations"].mean(), color='r', linestyle='dashed')
    plt.text(df_2[df_2.W_E=="Europe"]["OpenCitations"].mean(),600,'Mean (Asia): {:.2f}'.format(df_2[df_2.W_E=="Europe"]["OpenCitations"].mean()),fontsize=12)
    plt.text(df_2[df_2.W_E=="Europe"]["OpenCitations"].median(),700,'Median (Asia): {:.2f}'.format(df_2[df_2.W_E=="Europe"]["OpenCitations"].median()),fontsize=12)
    plt.axvline(df_2[df_2.W_E=="Europe"]["OpenCitations"].median(), color='r', linestyle='dashed')
    ax.set_xlabel('Number of citations of articles',fontsize=12)
    ax.set_ylabel('Number of articles by author continent',fontsize=12)
    fig.tight_layout()
    plt.show()

if DATASET_VERSION == 1:
    x = df_2[df_2.W_E=="Asia"]["OpenCitations"]
    y = df_2[df_2.W_E=="Europe"]["OpenCitations"]
    U1, p = mannwhitneyu(x, y)
    print(p)

2.655613933661783e-32

if DATASET_VERSION == 1:
    stat, p = ttest_ind(x, y)
    print('stat=%.3f, p=%.3f' % (stat, p))
    if p > 0.05:
        print('Probably the same distribution')
    else:
        print('Probably different distributions')

stat=-10.323, p=0.000
Probably different distributions